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refactor: use constants/float64/nan in stats/strided/dnanmeanpn #11768

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refactor: use constants/float64/nan in stats/strided/dnanmeanpn #11768

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7 changes: 4 additions & 3 deletions lib/node_modules/@stdlib/stats/strided/dnanmeanpn/README.md
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Expand Up @@ -199,14 +199,15 @@ console.log( v );

```c
#include "stdlib/stats/strided/dnanmeanpn.h"
#include "stdlib/constants/float64/nan.h"
```

#### stdlib_strided_dnanmeanpn( N, \*X, strideX )

Computes arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.

```c
const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
const double x[] = { 1.0, 2.0, STDLIB_CONSTANT_FLOAT64_NAN, 3.0, STDLIB_CONSTANT_FLOAT64_NAN, 4.0, 5.0, 6.0, STDLIB_CONSTANT_FLOAT64_NAN, 7.0, 8.0, STDLIB_CONSTANT_FLOAT64_NAN };

double v = stdlib_strided_dnanmeanpn( 6, x, 2 );
// returns ~4.6667
Expand All @@ -227,7 +228,7 @@ double stdlib_strided_dnanmeanpn( const CBLAS_INT N, const double *X, const CBLA
Computes the aithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm and alternative indexing semantics.

```c
const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
const double x[] = { 1.0, 2.0, STDLIB_CONSTANT_FLOAT64_NAN, 3.0, STDLIB_CONSTANT_FLOAT64_NAN, 4.0, 5.0, 6.0, STDLIB_CONSTANT_FLOAT64_NAN, 7.0, 8.0, STDLIB_CONSTANT_FLOAT64_NAN };

double v = stdlib_strided_dnanmeanpn( 6, x, 2, 0 );
// returns ~4.6667
Expand Down Expand Up @@ -268,7 +269,7 @@ double stdlib_strided_dnanmeanpn_ndarray( const CBLAS_INT N, const double *X, co

int main( void ) {
// Create a strided array:
const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
const double x[] = { 1.0, 2.0, STDLIB_CONSTANT_FLOAT64_NAN, 3.0, STDLIB_CONSTANT_FLOAT64_NAN, 4.0, 5.0, 6.0, STDLIB_CONSTANT_FLOAT64_NAN, 7.0, 8.0, STDLIB_CONSTANT_FLOAT64_NAN };

// Specify the number of elements:
const int N = 6;
Expand Down
5 changes: 3 additions & 2 deletions lib/node_modules/@stdlib/stats/strided/dnanmeanpn/benchmark/c/benchmark.length.c
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Expand Up @@ -17,6 +17,7 @@
*/

#include "stdlib/stats/strided/dnanmeanpn.h"
#include "stdlib/constants/float64/nan.h"
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
Expand Down Expand Up @@ -103,7 +104,7 @@ static double benchmark1( int iterations, int len ) {

for ( i = 0; i < len; i++ ) {
if ( rand_double() < 0.2 ) {
x[ i ] = 0.0 / 0.0; // NaN
x[ i ] = STDLIB_CONSTANT_FLOAT64_NAN;
} else {
x[ i ] = ( rand_double()*20000.0 ) - 10000.0;
}
Expand Down Expand Up @@ -141,7 +142,7 @@ static double benchmark2( int iterations, int len ) {

for ( i = 0; i < len; i++ ) {
if ( rand_double() < 0.2 ) {
x[ i ] = 0.0 / 0.0; // NaN
x[ i ] = STDLIB_CONSTANT_FLOAT64_NAN;
} else {
x[ i ] = ( rand_double()*20000.0 ) - 10000.0;
}
Expand Down
3 changes: 2 additions & 1 deletion lib/node_modules/@stdlib/stats/strided/dnanmeanpn/examples/c/example.c
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Expand Up @@ -18,10 +18,11 @@

#include "stdlib/stats/strided/dnanmeanpn.h"
#include <stdio.h>
#include "stdlib/constants/float64/nan.h"

int main( void ) {
// Create a strided array:
const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
const double x[] = { 1.0, 2.0, STDLIB_CONSTANT_FLOAT64_NAN, 3.0, STDLIB_CONSTANT_FLOAT64_NAN, 4.0, 5.0, 6.0, STDLIB_CONSTANT_FLOAT64_NAN, 7.0, 8.0, STDLIB_CONSTANT_FLOAT64_NAN };

// Specify the number of elements:
const int N = 6;
Expand Down
12 changes: 8 additions & 4 deletions lib/node_modules/@stdlib/stats/strided/dnanmeanpn/manifest.json
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Expand Up @@ -44,7 +44,8 @@
"@stdlib/napi/argv",
"@stdlib/napi/argv-int64",
"@stdlib/napi/argv-strided-float64array",
"@stdlib/napi/create-double"
"@stdlib/napi/create-double",
"@stdlib/constants/float64/nan"
]
},
{
Expand All @@ -60,7 +61,8 @@
"libpath": [],
"dependencies": [
"@stdlib/blas/base/shared",
"@stdlib/strided/base/stride2offset"
"@stdlib/strided/base/stride2offset",
"@stdlib/constants/float64/nan"
]
},
{
Expand All @@ -76,7 +78,8 @@
"libpath": [],
"dependencies": [
"@stdlib/blas/base/shared",
"@stdlib/strided/base/stride2offset"
"@stdlib/strided/base/stride2offset",
"@stdlib/constants/float64/nan"
]
},
{
Expand All @@ -92,7 +95,8 @@
"libpath": [],
"dependencies": [
"@stdlib/blas/base/shared",
"@stdlib/strided/base/stride2offset"
"@stdlib/strided/base/stride2offset",
"@stdlib/constants/float64/nan"
]
}
]
Expand Down
5 changes: 3 additions & 2 deletions lib/node_modules/@stdlib/stats/strided/dnanmeanpn/src/main.c
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Expand Up @@ -19,6 +19,7 @@
#include "stdlib/stats/strided/dnanmeanpn.h"
#include "stdlib/blas/base/shared.h"
#include "stdlib/strided/base/stride2offset.h"
#include "stdlib/constants/float64/nan.h"

/**
* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
Expand Down Expand Up @@ -61,7 +62,7 @@ double API_SUFFIX(stdlib_strided_dnanmeanpn_ndarray)( const CBLAS_INT N, const d
double v;

if ( N <= 0 ) {
return 0.0 / 0.0; // NaN
return STDLIB_CONSTANT_FLOAT64_NAN;
}
if ( N == 1 || strideX == 0 ) {
return X[ offsetX ];
Expand All @@ -80,7 +81,7 @@ double API_SUFFIX(stdlib_strided_dnanmeanpn_ndarray)( const CBLAS_INT N, const d
ix += strideX;
}
if ( n == 0 ) {
return 0.0 / 0.0; // NaN
return STDLIB_CONSTANT_FLOAT64_NAN;
}
dn = (double)n;
s /= dn;
Expand Down
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