Skip to content

test: migrate stats/incr/nanskewness to ULP-based assertions #14271

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
kgryte merged 1 commit into from
Aug 14, 2026
+3 −12
Merged

test: migrate stats/incr/nanskewness to ULP-based assertions #14271

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 3 additions & 12 deletions lib/node_modules/@stdlib/stats/incr/nanskewness/test/test.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,7 @@
// MODULES //

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


Expand All @@ -42,10 +41,8 @@ tape( 'the function returns an accumulator function', function test( t ) {
tape( 'the accumulator function incrementally computes a corrected sample skewness', function test( t ) {
var expected;
var actual;
var delta;
var data;
var acc;
var tol;
var i;

data = [ 3.0, 2.0, 7.0, NaN, -1.0, NaN, 9.0 ];
Expand All @@ -67,9 +64,7 @@ tape( 'the accumulator function incrementally computes a corrected sample skewne
if ( expected[ i ] === null ) {
t.strictEqual( actual, expected[i], 'returns expected value' );
} else {
delta = abs( actual - expected[ i ] );
tol = 1.5 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. actual: '+actual+'. E: '+expected[i]+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( actual, expected[ i ], 1 ), true, 'returns expected value' );
}
}
t.end();
Expand All @@ -78,10 +73,8 @@ tape( 'the accumulator function incrementally computes a corrected sample skewne
tape( 'if not provided an input value, the accumulator function returns the current corrected sample skewness', function test( t ) {
var expected;
var actual;
var delta;
var data;
var acc;
var tol;
var i;

data = [ 1.0, 4.0, 1.0, NaN, 0.0, 2.0, 12.0 ];
Expand All @@ -91,9 +84,7 @@ tape( 'if not provided an input value, the accumulator function returns the curr
}
expected = 1.986829609590966;
actual = acc();
delta = abs( actual - expected );
tol = EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. actual: '+actual+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( actual, expected, 1 ), true, 'returns expected value' );
t.end();
});

Expand Down