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chore: address commit comments for commit 29ff047 (issue #10850) #10856

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7ec6b38
chore: address commit comments for commit 2255c38 (issue #10849)
parthodas23 Mar 10, 2026
6cb732f
chore: address commit comments for commit 29ff047 (issue #10850)
parthodas23 Mar 10, 2026
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60 changes: 30 additions & 30 deletions lib/node_modules/@stdlib/stats/base/ndarray/dmeanors/README.md
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Expand Up @@ -204,49 +204,49 @@ double stdlib_stats_dmeanors( const struct ndarray *arrays[] );
#include <stdio.h>

int main( void ) {
// Create a data buffer:
const double data[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };
// Create a data buffer:
const double data[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };

// Specify the number of array dimensions:
const int64_t ndims = 1;
// Specify the number of array dimensions:
const int64_t ndims = 1;

// Specify the array shape:
int64_t shape[] = { 4 };
int64_t shape[] = { 4 };

// Specify the array strides:
int64_t strides[] = { 2*STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT };
// Specify the array strides:
int64_t strides[] = { 2*STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT };

// Specify the byte offset:
const int64_t offset = 0;
// Specify the byte offset:
const int64_t offset = 0;

// Specify the array order:
const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR;
// Specify the array order:
const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR;

// Specify the index mode:
const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR;
// Specify the index mode:
const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR;

// Specify the subscript index modes:
int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
const int64_t nsubmodes = 1;
// Specify the subscript index modes:
int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
const int64_t nsubmodes = 1;

// Create an ndarray:
struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)data, ndims, shape, strides, offset, order, imode, nsubmodes, submodes );
if ( x == NULL ) {
fprintf( stderr, "Error allocating memory.\n" );
exit( 1 );
}
// Create an ndarray:
struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)data, ndims, shape, strides, offset, order, imode, nsubmodes, submodes );
if ( x == NULL ) {
fprintf( stderr, "Error allocating memory.\n" );
exit( 1 );
}

// Define a list of ndarrays:
const struct ndarray *arrays[] = { x };
// Define a list of ndarrays:
const struct ndarray *arrays[] = { x };

// Compute the arithmetic mean value:
double v = stdlib_stats_dmeanors( arrays );
// Compute the arithmetic mean value:
double v = stdlib_stats_dmeanors( arrays );

// Print the result:
printf( "mean: %lf\n", v );
// Print the result:
printf( "mean: %lf\n", v );

// Free allocated memory:
stdlib_ndarray_free( x );
// Free allocated memory:
stdlib_ndarray_free( x );
}
```

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4 changes: 2 additions & 2 deletions lib/node_modules/@stdlib/stats/base/ndarray/dnanstdevch/benchmark/benchmark.js
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Expand Up @@ -86,8 +86,8 @@ function createBenchmark( len ) {
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = dnanstdevch( [ x, correction ] );
if ( typeof v !== 'number' ) {
b.fail( 'should return a number' );
if ( isnan( v ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
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2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/strided/snanmskminabs/README.md
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Expand Up @@ -61,7 +61,7 @@ The function has the following parameters:
- **mask**: mask [`Uint8Array`][@stdlib/array/uint8]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.
- **strideMask**: stride length for `mask`.

The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the minimum absolute value of every other element in `x`,
The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the minimum absolute value of every other element in `x`,

```javascript
var Float32Array = require( '@stdlib/array/float32' );
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