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test: migrate stats/incr/nanmpe to ULP-based assertions #15969

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Merged
kgryte merged 1 commit into from
Oct 11, 2026
Merged

test: migrate stats/incr/nanmpe to ULP-based assertions #15969

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19 changes: 3 additions & 16 deletions lib/node_modules/@stdlib/stats/incr/nanmpe/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 isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var incrnanmpe = require( './../lib' );


Expand All @@ -49,11 +48,9 @@ tape( 'the initial accumulated value is `null`', function test( t ) {
tape( 'the accumulator function incrementally computes the mean percentage error, ignoring NaN values', function test( t ) {
var expected;
var actual;
var delta;
var data;
var acc;
var sum;
var tol;
var cnt;
var N;
var x;
Expand Down Expand Up @@ -83,24 +80,16 @@ tape( 'the accumulator function incrementally computes the mean percentage error
cnt += 1;
expected = 100.0 * ( sum/cnt );
}
if ( actual === expected ) {
t.strictEqual( actual, expected, 'returns expected value' );
} else {
delta = abs( expected - actual );
tol = 10.0 * EPS * abs( expected );
t.strictEqual( delta <= tol, true, 'within tolerance. Actual: '+actual+'. Expected: '+expected+'. Delta: '+delta+'. Tol: '+tol+'.' );
}
t.strictEqual( isAlmostSameValue( actual, expected, 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'if not provided an input value, the accumulator function returns the current mean percentage error', function test( t ) {
var expected;
var actual;
var delta;
var data;
var acc;
var tol;
var i;

data = [
Expand All @@ -117,8 +106,6 @@ tape( 'if not provided an input value, the accumulator function returns the curr

// Only counting non-NaN: [2.0, 3.0], [3.0, 5.0], [1.0, 10.0]
expected = 100.0 / 3.0 * ((1.0/3.0) + (2.0/5.0) + (9.0/10.0));
delta = abs( expected - actual );
tol = 1.0 * EPS * abs( expected );
t.strictEqual( delta <= tol, true, 'within tolerance. Actual: '+actual+'. Expected: '+expected+'. Delta: '+delta + '. Tol: '+tol+'.' );
t.strictEqual( isAlmostSameValue( actual, expected, 1 ), true, 'returns expected value' );
t.end();
});
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