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test: migrate stats/base/dists/triangular/median to ULP-based assertions #15396

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Merged
kgryte merged 1 commit into from
Sep 22, 2026
+10 −44
Merged

test: migrate stats/base/dists/triangular/median to ULP-based assertions #15396

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27 changes: 5 additions & 22 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,9 +21,8 @@
// MODULES //

var tape = require( 'tape' );
var abs = require( '@stdlib/math/base/special/abs' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var median = require( './../lib' );


Expand Down Expand Up @@ -74,8 +73,6 @@ tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns

tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c < (a + b) / 2`', function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var c;
Expand All @@ -87,22 +84,14 @@ tape( 'the function returns the median of a triangular distribution if provided
b = data1.b;
c = data1.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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. a: '+a[i]+'. b: '+b[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
y = median( a[ i ], b[ i ], c[ i ] );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c >= (a + b) / 2`', function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var c;
Expand All @@ -114,14 +103,8 @@ tape( 'the function returns the median of a triangular distribution if provided
b = data2.b;
c = data2.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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. a: '+a[i]+'. b: '+b[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
y = median( a[ i ], b[ i ], c[ i ] );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
27 changes: 5 additions & 22 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/median/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,7 @@ var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
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 EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );


// FIXTURES //
Expand Down Expand Up @@ -83,8 +82,6 @@ tape( 'if provided parameters not satisfying `a <= c <= b`, the function returns

tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c < (a + b) / 2`', opts, function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var c;
Expand All @@ -96,22 +93,14 @@ tape( 'the function returns the median of a triangular distribution if provided
b = data1.b;
c = data1.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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. a: '+a[i]+'. b: '+b[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
y = median( a[ i ], b[ i ], c[ i ] );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns the median of a triangular distribution if provided parameters satisfy `c >= (a + b) / 2`', opts, function test( t ) {
var expected;
var delta;
var tol;
var a;
var b;
var c;
Expand All @@ -123,14 +112,8 @@ tape( 'the function returns the median of a triangular distribution if provided
b = data2.b;
c = data2.c;
for ( i = 0; i < expected.length; i++ ) {
y = median( a[i], b[i], c[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'a: '+a[i]+', b: '+b[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. a: '+a[i]+'. b: '+b[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
y = median( a[ i ], b[ i ], c[ i ] );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
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