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test: migrate stats/base/dists/hypergeometric/variance to ULP-based assertions #14370

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test: migrate stats/base/dists/hypergeometric/variance to ULP-based assertions #14370

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13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/hypergeometric/variance/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,10 +21,9 @@
// 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 EPS = require( '@stdlib/constants/float64/eps' );
var variance = require( './../lib' );


Expand Down Expand Up @@ -119,8 +118,6 @@ tape( 'if provided an `n` which is not a nonnegative integer, the function retur

tape( 'the function returns the variance of a hypergeometric distribution', function test( t ) {
var expected;
var delta;
var tol;
var N;
var K;
var n;
Expand All @@ -133,13 +130,7 @@ tape( 'the function returns the variance of a hypergeometric distribution', func
n = data.n;
for ( i = 0; i < n.length; i++ ) {
y = variance( N[i], K[i], n[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'N: '+N[i]+', K: '+K[i]+', n: '+n[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 18.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. N: '+N[i]+'. K: '+K[i]+'. n: '+n[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 29 ), true, 'returns expected value' );
}
t.end();
});
13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/base/dists/hypergeometric/variance/test/test.native.js
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Original file line number Diff line number Diff line change
Expand Up @@ -23,9 +23,8 @@
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 EPS = require( '@stdlib/constants/float64/eps' );


// VARIABLES //
Expand Down Expand Up @@ -87,8 +86,6 @@ tape( 'if provided an `n` which is not a nonnegative integer, the function retur

tape( 'the function returns the variance of a hypergeometric distribution', opts, function test( t ) {
var expected;
var delta;
var tol;
var N;
var K;
var n;
Expand All @@ -101,13 +98,7 @@ tape( 'the function returns the variance of a hypergeometric distribution', opts
n = data.n;
for ( i = 0; i < n.length; i++ ) {
y = variance( N[i], K[i], n[i] );
if ( y === expected[i] ) {
t.strictEqual( y, expected[i], 'N: '+N[i]+', K: '+K[i]+', n: '+n[i]+', y: '+y+', expected: '+expected[i] );
} else {
delta = abs( y - expected[ i ] );
tol = 18.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. N: '+N[i]+'. K: '+K[i]+'. n: '+n[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});