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Merged
kgryte merged 3 commits into from
Aug 12, 2026
Merged

style: add missing spaces #14201

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0411abd
style: add missing spaces in `blas/ext/base/ndarray/ccopy-within`
claude Aug 12, 2026
c366766
style: add missing spaces in `blas/ext/base/ndarray/zcopy-within`
claude Aug 12, 2026
95866ae
style: add missing spaces in `stats/base/dists/arcsine/logcdf`
claude Aug 12, 2026
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8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/ccopy-within/docs/types/index.d.ts
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Expand Up @@ -45,17 +45,17 @@ import { typedndarray, complex64ndarray } from '@stdlib/types/ndarray';
*
* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var target = scalar2ndarray( 1, {
* 'dtype': 'generic'
* 'dtype': 'generic'
* });
* var start = scalar2ndarray( 0, {
* 'dtype': 'generic'
* 'dtype': 'generic'
* });
* var end = scalar2ndarray( 2, {
* 'dtype': 'generic'
* 'dtype': 'generic'
* });
*
* var w = zeros( [ 3 ], {
* 'dtype': 'complex64'
* 'dtype': 'complex64'
* });
*
* var out = ccopyWithin( [ x, target, start, end, w ] );
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8 changes: 4 additions & 4 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/zcopy-within/docs/types/index.d.ts
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Expand Up @@ -45,17 +45,17 @@ import { typedndarray, complex128ndarray } from '@stdlib/types/ndarray';
*
* var x = new Complex128Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var target = scalar2ndarray( 1, {
* 'dtype': 'generic'
* 'dtype': 'generic'
* });
* var start = scalar2ndarray( 0, {
* 'dtype': 'generic'
* 'dtype': 'generic'
* });
* var end = scalar2ndarray( 2, {
* 'dtype': 'generic'
* 'dtype': 'generic'
* });
*
* var w = zeros( [ 3 ], {
* 'dtype': 'complex128'
* 'dtype': 'complex128'
* });
*
* var out = zcopyWithin( [ x, target, start, end, w ] );
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6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/logcdf/test/test.factory.js
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Expand Up @@ -145,7 +145,7 @@ tape( 'the created function evaluates the logcdf for `x` given a small range `b
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( a[i], b[i] );
y = logcdf( x[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 18 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 18 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -166,7 +166,7 @@ tape( 'the created function evaluates the logcdf for `x` given a medium range `b
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( a[i], b[i] );
y = logcdf( x[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 19 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 19 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -187,7 +187,7 @@ tape( 'the created function evaluates the logcdf for `x` given a large range `b
for ( i = 0; i < x.length; i++ ) {
logcdf = factory( a[i], b[i] );
y = logcdf( x[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 33 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 33 ), true, 'returns expected value' );
}
t.end();
});
6 changes: 3 additions & 3 deletions lib/node_modules/@stdlib/stats/base/dists/arcsine/logcdf/test/test.logcdf.js
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Expand Up @@ -97,7 +97,7 @@ tape( 'the function evaluates the logcdf for `x` given a small range `b - a`', f
b = smallRange.b;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], a[i], b[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 18 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 18 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -116,7 +116,7 @@ tape( 'the function evaluates the logcdf for `x` given a medium range `b - a`',
b = mediumRange.b;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], a[i], b[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 19 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 19 ), true, 'returns expected value' );
}
t.end();
});
Expand All @@ -135,7 +135,7 @@ tape( 'the function evaluates the logcdf for `x` given a large range `b - a`', f
b = largeRange.b;
for ( i = 0; i < x.length; i++ ) {
y = logcdf( x[i], a[i], b[i] );
t.strictEqual( isAlmostSameValue( y, expected[i], 33 ), true, 'returns expected value' );
t.strictEqual( isAlmostSameValue( y, expected[ i ], 33 ), true, 'returns expected value' );
}
t.end();
});