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test: migrate stats/base/dists/f/variance to ULP-based testing #15403

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test: migrate stats/base/dists/f/variance to ULP-based testing #15403

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13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/f/variance/test/test.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 abs = require( '@stdlib/math/base/special/abs' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var variance = require( './../lib' );


Expand Down Expand Up @@ -108,8 +107,6 @@ tape( 'if provided `d2 <= 4`, the function returns `NaN`', function test( t ) {

tape( 'the function returns the variance of an F distribution', function test( t ) {
var expected;
var delta;
var tol;
var d1;
var d2;
var i;
Expand All @@ -120,13 +117,7 @@ tape( 'the function returns the variance of an F distribution', function test( t
d2 = data.d2;
for ( i = 0; i < expected.length; i++ ) {
y = variance( d1[i], d2[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'd1: '+d1[i]+', d2: '+d2[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. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/f/variance/test/test.native.js
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Expand Up @@ -24,10 +24,9 @@ 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 PINF = require( '@stdlib/constants/float64/pinf' );
var NINF = require( '@stdlib/constants/float64/ninf' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );


// FIXTURES //
Expand Down Expand Up @@ -117,8 +116,6 @@ tape( 'if provided `d2 <= 4`, the function returns `NaN`', opts, function test(

tape( 'the function returns the variance of an F distribution', opts, function test( t ) {
var expected;
var delta;
var tol;
var d1;
var d2;
var i;
Expand All @@ -129,13 +126,7 @@ tape( 'the function returns the variance of an F distribution', opts, function t
d2 = data.d2;
for ( i = 0; i < expected.length; i++ ) {
y = variance( d1[i], d2[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'd1: '+d1[i]+', d2: '+d2[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. d1: '+d1[i]+'. d2: '+d2[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
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