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Merged
kgryte merged 4 commits into from
Sep 22, 2026
+22 −22
Merged

style: add whitespace #15394

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521e587
style: add spaces around array indices in `stats/base/dists/bradford/…
claude Sep 21, 2026
cde4816
style: add spaces around array indices in `stats/base/dists/cauchy/lo…
claude Sep 21, 2026
a8f5214
style: add spaces around array indices in `stats/base/dists/halfnorma…
claude Sep 21, 2026
8677804
style: add spaces around array indices in `stats/base/dists/triangula…
claude Sep 21, 2026
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.js
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Expand Up @@ -75,7 +75,7 @@ tape( 'the function returns the skewness of a bradford distribution', function t
/*
* TODO: the significant divergence from SciPy appears to stem from the computation of the natural log. We should follow up to ensure that our ln implementation is sufficiently accurate.
*/
t.strictEqual( isAlmostSameValue( y, expected[i], 36250 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 36250 ), true, 'returns expected value' );
}
t.end();
});
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/bradford/skewness/test/test.native.js
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Expand Up @@ -84,7 +84,7 @@ tape( 'the function returns the skewness of a Bradford distribution', opts, func
/*
* TODO: the significant divergence from SciPy appears to stem from the computation of the natural log. We should follow up to ensure that our ln implementation is sufficiently accurate.
*/
t.strictEqual( isAlmostSameValue( y, expected[i], 36250 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 36250 ), true, 'returns expected value' );
}
t.end();
});
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js
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Expand Up @@ -151,7 +151,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( x0[i], gamma[i] );
y = logcdf( x[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 9 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -172,7 +172,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( x0[i], gamma[i] );
y = logcdf( x[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 12 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -193,7 +193,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( x0[i], gamma[i] );
y = logcdf( x[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 6 ), true, 'returns expected value' );
}
t.end();
});
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
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Expand Up @@ -106,7 +106,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
gamma = largeGamma.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 9 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -125,7 +125,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
gamma = negativeMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 12 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -144,7 +144,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
gamma = positiveMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 6 ), true, 'returns expected value' );
}
t.end();
});
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
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Expand Up @@ -115,7 +115,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
gamma = largeGamma.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 9 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -134,7 +134,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
gamma = negativeMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 12 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -153,7 +153,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
gamma = positiveMedian.gamma;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], x0[i], gamma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 6 ), true, 'returns expected value' );
}
t.end();
});
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.js
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Expand Up @@ -72,7 +72,7 @@ tape( 'the function returns the expected value of a half-normal distribution', f

for ( i = 0; i < sigma.length; i++ ) {
y = mean( sigma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 0 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/dists/halfnormal/mean/test/test.native.js
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Expand Up @@ -77,7 +77,7 @@ tape( 'the function returns the expected value of a half-normal distribution', o

for ( i = 0; i < sigma.length; i++ ) {
y = mean( sigma[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 0 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.factory.js
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Expand Up @@ -167,7 +167,7 @@ tape( 'the created function evaluates the quantile for `p` given a small range `
for ( i = 0; i < p.length; i++ ) {
quantile = factory( a[i], b[i], c[i] );
y = quantile( p[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -190,7 +190,7 @@ tape( 'the created function evaluates the quantile for `p` given a medium range
for ( i = 0; i < p.length; i++ ) {
quantile = factory( a[i], b[i], c[i] );
y = quantile( p[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -213,7 +213,7 @@ tape( 'the created function evaluates the quantile for `p` given a large range `
for ( i = 0; i < p.length; i++ ) {
quantile = factory( a[i], b[i], c[i] );
y = quantile( p[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.native.js
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Expand Up @@ -130,7 +130,7 @@ tape( 'the function evaluates the quantile for `x` given a small range `b - a`',
c = smallRange.c;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], a[i], b[i], c[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -151,7 +151,7 @@ tape( 'the function evaluates the quantile for `x` given a medium range `b - a`'
c = mediumRange.c;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], a[i], b[i], c[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -172,7 +172,7 @@ tape( 'the function evaluates the quantile for `x` given a large range `b - a`',
c = largeRange.c;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], a[i], b[i], c[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/test/test.quantile.js
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Expand Up @@ -121,7 +121,7 @@ tape( 'the function evaluates the quantile for `x` given a small range `b - a`',
c = smallRange.c;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], a[i], b[i], c[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -142,7 +142,7 @@ tape( 'the function evaluates the quantile for `x` given a medium range `b - a`'
c = mediumRange.c;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], a[i], b[i], c[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -163,7 +163,7 @@ tape( 'the function evaluates the quantile for `x` given a large range `b - a`',
c = largeRange.c;
for ( i = 0; i < p.length; i++ ) {
y = quantile( p[i], a[i], b[i], c[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 1 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});
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