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test: migrate stats/base/dists/levy/logcdf to ULP-based assertions #14929

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Merged
kgryte merged 1 commit into from
Sep 4, 2026
+12 −91
Merged

test: migrate stats/base/dists/levy/logcdf to ULP-based assertions #14929

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33 changes: 4 additions & 29 deletions lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/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 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 @@ -156,8 +155,6 @@ tape( 'if provided a nonpositive `c`, the created function always returns `NaN`'
tape( 'the created function evaluates the logcdf for `x` given positive `mu`', function test( t ) {
var expected;
var logcdf;
var delta;
var tol;
var mu;
var c;
var i;
Expand All @@ -171,22 +168,14 @@ tape( 'the created function evaluates the logcdf for `x` given positive `mu`', f
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( mu[i], c[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logcdf for `x` given negative `mu`', function test( t ) {
var expected;
var logcdf;
var delta;
var tol;
var mu;
var c;
var i;
Expand All @@ -200,22 +189,14 @@ tape( 'the created function evaluates the logcdf for `x` given negative `mu`', f
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( mu[i], c[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the created function evaluates the logcdf for `x` given large variance ( = large `b`)', function test( t ) {
var expected;
var logcdf;
var delta;
var tol;
var mu;
var c;
var i;
Expand All @@ -229,13 +210,7 @@ tape( 'the created function evaluates the logcdf for `x` given large variance (
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( mu[i], c[i] );
y = logcdf( x[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
35 changes: 4 additions & 31 deletions lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.logcdf.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 PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var logcdf = require( './../lib' );


Expand Down Expand Up @@ -105,8 +104,6 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', function test

tape( 'the function evaluates the logcdf for `x` given positive `mu`', function test( t ) {
var expected;
var delta;
var tol;
var mu;
var c;
var i;
Expand All @@ -119,50 +116,32 @@ tape( 'the function evaluates the logcdf for `x` given positive `mu`', function
c = positiveMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], mu[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given negative `mu`', function test( t ) {
var expected;
var delta;
var tol;
var mu;
var c;
var i;
var x;
var y;

tol = EPS;

expected = negativeMean.expected;
x = negativeMean.x;
mu = negativeMean.mu;
c = negativeMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], mu[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given large variance ( = large `b` )', function test( t ) {
var expected;
var delta;
var tol;
var mu;
var c;
var i;
Expand All @@ -175,13 +154,7 @@ tape( 'the function evaluates the logcdf for `x` given large variance ( = large
c = largeVariance.c;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], mu[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[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]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
35 changes: 4 additions & 31 deletions lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -23,11 +23,10 @@
var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
var tryRequire = require( '@stdlib/utils/try-require' );
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' );


// VARIABLES //
Expand Down Expand Up @@ -114,8 +113,6 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', opts, functio

tape( 'the function evaluates the logcdf for `x` given positive `mu`', opts, function test( t ) {
var expected;
var delta;
var tol;
var mu;
var c;
var i;
Expand All @@ -128,50 +125,32 @@ tape( 'the function evaluates the logcdf for `x` given positive `mu`', opts, fun
c = positiveMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], mu[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given negative `mu`', opts, function test( t ) {
var expected;
var delta;
var tol;
var mu;
var c;
var i;
var x;
var y;

tol = EPS;

expected = negativeMean.expected;
x = negativeMean.x;
mu = negativeMean.mu;
c = negativeMean.c;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], mu[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function evaluates the logcdf for `x` given large variance ( = large `b` )', opts, function test( t ) {
var expected;
var delta;
var tol;
var mu;
var c;
var i;
Expand All @@ -184,13 +163,7 @@ tape( 'the function evaluates the logcdf for `x` given large variance ( = large
c = largeVariance.c;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], mu[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 3.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});