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Merged
kgryte merged 1 commit into from
Aug 14, 2026
Merged

bench: fix description and update variable names in blas/base/ndarray #14261

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22 changes: 11 additions & 11 deletions lib/node_modules/@stdlib/blas/base/ndarray/cgemv/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -48,10 +48,10 @@ var options = {
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @param {PositiveInteger} N - number of elements along each dimension
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
function createBenchmark( N ) {
var trans;
var alpha;
var beta;
Expand All @@ -62,17 +62,17 @@ function createBenchmark( len ) {
var x;
var y;

Abuf = uniform( len*len*2, -100.0, 100.0, {
Abuf = uniform( N*N*2, -100.0, 100.0, {
'dtype': 'float32'
});
A = new Complex64Matrix( Abuf.buffer, 0, [ len, len ] );
A = new Complex64Matrix( Abuf.buffer, 0, [ N, N ] );

xbuf = uniform( len*2, -100.0, 100.0, {
xbuf = uniform( N*2, -100.0, 100.0, {
'dtype': 'float32'
});
x = new Complex64Vector( xbuf.buffer );

ybuf = uniform( len*2, -100.0, 100.0, {
ybuf = uniform( N*2, -100.0, 100.0, {
'dtype': 'float32'
});
y = new Complex64Vector( ybuf.buffer );
Expand Down Expand Up @@ -103,7 +103,7 @@ function createBenchmark( len ) {
}
}
b.toc();
if ( isnanf( realf( z.get( i%len ) ) ) ) {
if ( isnanf( realf( z.get( i%N ) ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
Expand All @@ -120,19 +120,19 @@ function createBenchmark( len ) {
* @private
*/
function main() {
var len;
var min;
var max;
var N;
var f;
var i;

min = 1; // 10^min
max = 3; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
N = pow( 10, i );
f = createBenchmark( N );
bench( format( '%s:size=%d', pkg, N*N ), f );
}
}

Expand Down
20 changes: 10 additions & 10 deletions lib/node_modules/@stdlib/blas/base/ndarray/dgemm/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -44,10 +44,10 @@ var options = {
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @param {PositiveInteger} N - number of elements along each dimension
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
function createBenchmark( N ) {
var transA;
var transB;
var alpha;
Expand All @@ -56,9 +56,9 @@ function createBenchmark( len ) {
var B;
var C;

A = uniform( [ len, len ], -100.0, 100.0, options );
B = uniform( [ len, len ], -100.0, 100.0, options );
C = uniform( [ len, len ], -100.0, 100.0, options );
A = uniform( [ N, N ], -100.0, 100.0, options );
B = uniform( [ N, N ], -100.0, 100.0, options );
C = uniform( [ N, N ], -100.0, 100.0, options );

alpha = scalar2ndarray( 1.0, options );
beta = scalar2ndarray( 1.0, options );
Expand Down Expand Up @@ -89,7 +89,7 @@ function createBenchmark( len ) {
}
}
b.toc();
if ( isnan( z.get( i%len, i%len ) ) ) {
if ( isnan( z.get( i%N, i%N ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
Expand All @@ -106,19 +106,19 @@ function createBenchmark( len ) {
* @private
*/
function main() {
var len;
var min;
var max;
var N;
var f;
var i;

min = 1; // 10^min
max = 3; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
N = pow( 10, i );
f = createBenchmark( N );
bench( format( '%s:size=%d', pkg, N*N ), f );
}
}

Expand Down
20 changes: 10 additions & 10 deletions lib/node_modules/@stdlib/blas/base/ndarray/dgemv/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -44,20 +44,20 @@ var options = {
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @param {PositiveInteger} N - number of elements along each dimension
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
function createBenchmark( N ) {
var trans;
var alpha;
var beta;
var A;
var x;
var y;

A = uniform( [ len, len ], -100.0, 100.0, options );
x = uniform( [ len ], -100.0, 100.0, options );
y = uniform( [ len ], -100.0, 100.0, options );
A = uniform( [ N, N ], -100.0, 100.0, options );
x = uniform( [ N ], -100.0, 100.0, options );
y = uniform( [ N ], -100.0, 100.0, options );

alpha = scalar2ndarray( 1.0, options );
beta = scalar2ndarray( 1.0, options );
Expand Down Expand Up @@ -85,7 +85,7 @@ function createBenchmark( len ) {
}
}
b.toc();
if ( isnan( z.get( i%len ) ) ) {
if ( isnan( z.get( i%N ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
Expand All @@ -102,19 +102,19 @@ function createBenchmark( len ) {
* @private
*/
function main() {
var len;
var min;
var max;
var N;
var f;
var i;

min = 1; // 10^min
max = 3; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
N = pow( 10, i );
f = createBenchmark( N );
bench( format( '%s:size=%d', pkg, N*N ), f );
}
}

Expand Down
20 changes: 10 additions & 10 deletions lib/node_modules/@stdlib/blas/base/ndarray/dger/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -43,18 +43,18 @@ var options = {
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @param {PositiveInteger} N - number of elements along each dimension
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
function createBenchmark( N ) {
var alpha;
var x;
var y;
var A;

x = uniform( [ len ], -100.0, 100.0, options );
y = uniform( [ len ], -100.0, 100.0, options );
A = uniform( [ len, len ], -100.0, 100.0, options );
x = uniform( [ N ], -100.0, 100.0, options );
y = uniform( [ N ], -100.0, 100.0, options );
A = uniform( [ N, N ], -100.0, 100.0, options );

alpha = scalar2ndarray( 1.0, options );

Expand All @@ -78,7 +78,7 @@ function createBenchmark( len ) {
}
}
b.toc();
if ( isnan( z.get( 0, i%len ) ) ) {
if ( isnan( z.get( 0, i%N ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
Expand All @@ -95,19 +95,19 @@ function createBenchmark( len ) {
* @private
*/
function main() {
var len;
var min;
var max;
var N;
var f;
var i;

min = 1; // 10^min
max = 3; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
N = pow( 10, i );
f = createBenchmark( N );
bench( format( '%s:size=%d', pkg, N*N ), f );
}
}

Expand Down
18 changes: 9 additions & 9 deletions lib/node_modules/@stdlib/blas/base/ndarray/dspr/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -44,17 +44,17 @@ var options = {
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @param {PositiveInteger} N - number of elements along each dimension
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
function createBenchmark( N ) {
var alpha;
var uplo;
var AP;
var x;

AP = uniform( [ ( len * ( len+1 ) ) / 2 ], -100.0, 100.0, options );
x = uniform( [ len ], -100.0, 100.0, options );
AP = uniform( [ ( N * ( N+1 ) ) / 2 ], -100.0, 100.0, options );
x = uniform( [ N ], -100.0, 100.0, options );

uplo = scalar2ndarray( resolveEnum( 'upper' ), {
'dtype': 'int8'
Expand All @@ -81,7 +81,7 @@ function createBenchmark( len ) {
}
}
b.toc();
if ( isnan( z.get( i%len ) ) ) {
if ( isnan( z.get( i%N ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
Expand All @@ -98,19 +98,19 @@ function createBenchmark( len ) {
* @private
*/
function main() {
var len;
var min;
var max;
var N;
var f;
var i;

min = 1; // 10^min
max = 3; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
N = pow( 10, i );
f = createBenchmark( N );
bench( format( '%s:size=%d', pkg, ( N * ( N+1 ) ) / 2 ), f );
}
}

Expand Down
18 changes: 9 additions & 9 deletions lib/node_modules/@stdlib/blas/base/ndarray/dsyr/benchmark/benchmark.js
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Original file line number Diff line number Diff line change
Expand Up @@ -45,17 +45,17 @@ var options = {
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @param {PositiveInteger} N - number of elements along each dimension
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
function createBenchmark( N ) {
var alpha;
var uplo;
var x;
var A;

x = uniform( [ len ], -100.0, 100.0, options );
A = zeros( [ len, len ], options );
x = uniform( [ N ], -100.0, 100.0, options );
A = zeros( [ N, N ], options );

alpha = scalar2ndarray( 1.0, options );
uplo = scalar2ndarray( resolveEnum( 'upper' ), {
Expand All @@ -82,7 +82,7 @@ function createBenchmark( len ) {
}
}
b.toc();
if ( isnan( z.get( 0, i%len ) ) ) {
if ( isnan( z.get( 0, i%N ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
Expand All @@ -99,19 +99,19 @@ function createBenchmark( len ) {
* @private
*/
function main() {
var len;
var min;
var max;
var N;
var f;
var i;

min = 1; // 10^min
max = 3; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
N = pow( 10, i );
f = createBenchmark( N );
bench( format( '%s:size=%d', pkg, N*N ), f );
}
}

Expand Down
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