Skip to content

test: migrate stats/incr/nanmmse to ULP-based assertions #15986

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
Oct 11, 2026
Merged

test: migrate stats/incr/nanmmse to ULP-based assertions #15986

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
13 changes: 2 additions & 11 deletions lib/node_modules/@stdlib/stats/incr/nanmmse/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 incrnanmmse = require( './../lib' );


Expand Down Expand Up @@ -72,10 +71,8 @@
tape( 'the accumulator function computes a moving mean squared error incrementally', function test( t ) {
var expected;
var actual;
var delta;
var data;
var acc;
var tol;
var N;
var i;

Expand All @@ -93,16 +90,10 @@

acc = incrnanmmse( 3 );

expected = [ 1.0, 17.0/2.0, 26.0/3.0, 26.0/3.0, 89.0/3.0, 82.0/3.0, 82.0/3.0, 154.0/3.0 ];

Check warning on line 93 in lib/node_modules/@stdlib/stats/incr/nanmmse/test/test.js

View workflow job for this annotation

GitHub Actions / Lint Changed Files 

This line has a length of 94. Maximum allowed is 80
for ( i = 0; i < N; i++ ) {
actual = acc( data[i][0], data[i][1] );
if ( actual === expected[i] ) {
t.equal( actual, expected[i], 'returns expected value' );
} else {
delta = abs( expected[i] - actual );
tol = 1.0 * EPS * abs( expected[i] );
t.equal( delta <= tol, true, 'within tolerance. Actual: '+actual+'. Expected: '+expected[i]+'. Delta: '+delta+'. Tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
Expand Down
Loading