diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index 8392e1999459..2ee2d1fb9649 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as
var dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
```
-#### dnanmeanwd( N, x, stride )
+#### dnanmeanwd( N, x, strideX )
Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array `x`, using Welford's algorithm and ignoring `NaN` values.
@@ -59,9 +59,8 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
-var v = dnanmeanwd( N, x, 1 );
+var v = dnanmeanwd( x.length, x, 1 );
// returns ~0.3333
```
@@ -69,18 +68,16 @@ The function has the following parameters:
- **N**: number of indexed elements.
- **x**: input [`Float64Array`][@stdlib/array/float64].
-- **stride**: index increment for `x`.
+- **strideX**: index increment for `x`.
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
+The `N` and stride parameters determine which elements in the stride array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
```javascript
var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN ] );
-var N = floor( x.length / 2 );
-var v = dnanmeanwd( N, x, 2 );
+var v = dnanmeanwd( 4, x, 2 );
// returns 1.25
```
@@ -90,18 +87,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
```javascript
var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-var N = floor( x0.length / 2 );
-
-var v = dnanmeanwd( N, x1, 2 );
+var v = dnanmeanwd( 4, x1, 2 );
// returns 1.25
```
-#### dnanmeanwd.ndarray( N, x, stride, offset )
+#### dnanmeanwd.ndarray( N, x, strideX, offsetX )
Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
@@ -109,26 +103,23 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
-var v = dnanmeanwd.ndarray( N, x, 1, 0 );
+var v = dnanmeanwd.ndarray( x.length, x, 1, 0 );
// returns ~0.33333
```
The function has the following additional parameters:
-- **offset**: starting index for `x`.
+- **offsetX**: starting index for `x`.
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other element in `x` starting from the second element
```javascript
var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-var N = floor( x.length / 2 );
-var v = dnanmeanwd.ndarray( N, x, 2, 1 );
+var v = dnanmeanwd.ndarray( 4, x, 2, 1 );
// returns 1.25
```
@@ -180,6 +171,123 @@ console.log( v );
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dnanmeanwd.h"
+```
+
+#### stdlib_strided_dnanmeanwd( N, \*X, strideX )
+
+Computes the arithmetic mean of a double-precision floating-point strided array `x`, using Welford's algorithm and ignoring `NaN` values.
+
+```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 };
+
+double v = stdlib_strided_dnanmeanwd( 6, x, 2 );
+// returns 1.25
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dnanmeanwd( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dnanmeanwd_ndarray( N, \*X, strideX, offsetX )
+
+Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's 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 };
+
+double v = stdlib_strided_dnanmeanwd_ndarray( 6, x, 2, 0 );
+// returns 1.25
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dnanmeanwd_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dnanmeanwd.h"
+#include
+
+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 };
+
+ // Specify the number of elements:
+ const int N = 6;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the arithmetic mean:
+ double v = stdlib_strided_dnanmeanwd( N, x, strideX );
+
+ // Print the result:
+ printf( "mean: %lf\n", v );
+}
+```
+
+
+
+
+
+
+
+
+
* * *
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
index 725749785047..5b3d7bd98e6f 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
@@ -21,16 +21,30 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
var pkg = require( './../package.json' ).name;
var dnanmeanwd = require( './../lib/dnanmeanwd.js' );
// FUNCTIONS //
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+ if ( bernoulli( 0.2 ) ) {
+ return NaN;
+ }
+ return uniform( -10.0, 10.0 );
+}
+
/**
* Creates a benchmark function.
*
@@ -39,17 +53,7 @@ var dnanmeanwd = require( './../lib/dnanmeanwd.js' );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
- var x;
- var i;
-
- x = new Float64Array( len );
- for ( i = 0; i < x.length; i++ ) {
- if ( randu() < 0.2 ) {
- x[ i ] = NaN;
- } else {
- x[ i ] = ( randu()*20.0 ) - 10.0;
- }
- }
+ var x = filledarrayBy( len, 'float64', rand );
return benchmark;
function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
index 49d5321307e9..45aaba61cc4c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
@@ -22,10 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
@@ -40,6 +41,19 @@ var opts = {
// FUNCTIONS //
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+ if ( bernoulli( 0.2 ) ) {
+ return NaN;
+ }
+ return uniform( -10.0, 10.0 );
+}
+
/**
* Creates a benchmark function.
*
@@ -48,17 +62,7 @@ var opts = {
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
- var x;
- var i;
-
- x = new Float64Array( len );
- for ( i = 0; i < x.length; i++ ) {
- if ( randu() < 0.2 ) {
- x[ i ] = NaN;
- } else {
- x[ i ] = ( randu()*20.0 ) - 10.0;
- }
- }
+ var x = filledarrayBy( len, 'float64', rand );
return benchmark;
function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
index f2e9d31a0fc1..c22b93247335 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
@@ -21,16 +21,30 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
var pkg = require( './../package.json' ).name;
var dnanmeanwd = require( './../lib/ndarray.js' );
// FUNCTIONS //
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+ if ( bernoulli( 0.2 ) ) {
+ return NaN;
+ }
+ return uniform( -10.0, 10.0 );
+}
+
/**
* Creates a benchmark function.
*
@@ -39,17 +53,7 @@ var dnanmeanwd = require( './../lib/ndarray.js' );
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
- var x;
- var i;
-
- x = new Float64Array( len );
- for ( i = 0; i < x.length; i++ ) {
- if ( randu() < 0.2 ) {
- x[ i ] = NaN;
- } else {
- x[ i ] = ( randu()*20.0 ) - 10.0;
- }
- }
+ var x = filledarrayBy( len, 'float64', rand );
return benchmark;
function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
index a62fc15c5406..77bdfc9108e7 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
var pkg = require( './../package.json' ).name;
@@ -40,6 +41,19 @@ var opts = {
// FUNCTIONS //
+/**
+* Returns a random value or `NaN`.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+ if ( bernoulli( 0.2 ) ) {
+ return NaN;
+ }
+ return uniform( -10.0, 10.0 );
+}
+
/**
* Creates a benchmark function.
*
@@ -48,17 +62,7 @@ var opts = {
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
- var x;
- var i;
-
- x = new Float64Array( len );
- for ( i = 0; i < x.length; i++ ) {
- if ( randu() < 0.2 ) {
- x[ i ] = NaN;
- } else {
- x[ i ] = ( randu()*20.0 ) - 10.0;
- }
- }
+ var x = filledarrayBy( len, 'float64', rand );
return benchmark;
function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
index 3dce6d5a6c7f..7876ee3ceac5 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
@@ -94,7 +94,7 @@ static double rand_double( void ) {
* @param len array length
* @return elapsed time in seconds
*/
-static double benchmark( int iterations, int len ) {
+static double benchmark1( int iterations, int len ) {
double elapsed;
double x[ len ];
double v;
@@ -107,6 +107,7 @@ static double benchmark( int iterations, int len ) {
v = 0.0;
t = tic();
for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
v = stdlib_strided_dnanmeanwd( len, x, 1 );
if ( v != v ) {
printf( "should not return NaN\n" );
@@ -120,6 +121,44 @@ static double benchmark( int iterations, int len ) {
return elapsed;
}
+/**
+* Runs a benchmark.
+*
+* @param iterations number of iterations
+* @param len array length
+* @return elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+ double elapsed;
+ double x[ len ];
+ double v;
+ double t;
+ int i;
+
+ for ( i = 0; i < len; i++ ) {
+ if ( rand_double() < 0.2 ) {
+ x[ i ] = 0.0 / 0.0; // NaN
+ } else {
+ x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+ }
+ }
+ v = 0.0;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
+ v = stdlib_strided_dnanmeanwd_ndarray( len, x, 1, 0 );
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ }
+ return elapsed;
+}
+
/**
* Main execution sequence.
*/
@@ -142,7 +181,18 @@ int main( void ) {
for ( j = 0; j < REPEATS; j++ ) {
count += 1;
printf( "# c::%s:len=%d\n", NAME, len );
- elapsed = benchmark( iter, len );
+ elapsed = benchmark1( iter, len );
+ print_results( iter, elapsed );
+ printf( "ok %d benchmark finished\n", count );
+ }
+ }
+ for ( i = MIN; i <= MAX; i++ ) {
+ len = pow( 10, i );
+ iter = ITERATIONS / pow( 10, i-1 );
+ for ( j = 0; j < REPEATS; j++ ) {
+ count += 1;
+ printf( "# c::%s:ndarray:len=%d\n", NAME, len );
+ elapsed = benchmark2( iter, len );
print_results( iter, elapsed );
printf( "ok %d benchmark finished\n", count );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
index 33f938b1969d..9a707a6850a8 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
@@ -1,10 +1,10 @@
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
Computes the arithmetic mean of a double-precision floating-point strided
array, using Welford's algorithm and ignoring `NaN` values.
- The `N` and `stride` parameters determine which elements in `x` are accessed
- at runtime.
+ The `N` and stride parameters determine which elements in the strided array
+ are accessed at runtime.
Indexing is relative to the first index. To introduce an offset, use a typed
array view.
@@ -21,8 +21,8 @@
x: Float64Array
Input array.
- stride: integer
- Index increment.
+ strideX: integer
+ Stride length.
Returns
-------
@@ -36,28 +36,25 @@
> {{alias}}( x.length, x, 1 )
~0.3333
- // Using `N` and `stride` parameters:
+ // Using `N` and stride parameters:
> x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
- > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
- > var stride = 2;
- > {{alias}}( N, x, stride )
+ > {{alias}}( 3, x, 2 )
~0.3333
// Using view offsets:
> var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
> var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
- > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
- > stride = 2;
- > {{alias}}( N, x1, stride )
+ > {{alias}}( 3, x1, 2 )
~-0.3333
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
Computes the arithmetic mean of a double-precision floating-point strided
array, ignoring `NaN` values and using Welford's algorithm and alternative
indexing semantics.
While typed array views mandate a view offset based on the underlying
- buffer, the `offset` parameter supports indexing semantics based on a
+ buffer, the offset parameter supports indexing semantics based on a
starting index.
Parameters
@@ -68,10 +65,10 @@
x: Float64Array
Input array.
- stride: integer
- Index increment.
+ strideX: integer
+ Stride length.
- offset: integer
+ offsetX: integer
Starting index.
Returns
@@ -88,8 +85,7 @@
// Using offset parameter:
> var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
- > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
- > {{alias}}.ndarray( N, x, 2, 1 )
+ > {{alias}}.ndarray( 3, x, 2, 1 )
~-0.3333
See Also
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts
index d674d840c966..9c5697ea52ca 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts
@@ -27,7 +27,7 @@ interface Routine {
*
* @param N - number of indexed elements
* @param x - input array
- * @param stride - stride length
+ * @param strideX - stride length
* @returns arithmetic mean
*
* @example
@@ -38,15 +38,15 @@ interface Routine {
* var v = dnanmeanwd( x.length, x, 1 );
* // returns ~0.3333
*/
- ( N: number, x: Float64Array, stride: number ): number;
+ ( N: number, x: Float64Array, strideX: number ): number;
/**
* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
*
* @param N - number of indexed elements
* @param x - input array
- * @param stride - stride length
- * @param offset - starting index
+ * @param strideX - stride length
+ * @param offsetX - starting index
* @returns arithmetic mean
*
* @example
@@ -57,7 +57,7 @@ interface Routine {
* var v = dnanmeanwd.ndarray( x.length, x, 1, 0 );
* // returns ~0.3333
*/
- ndarray( N: number, x: Float64Array, stride: number, offset: number ): number;
+ ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number;
}
/**
@@ -65,7 +65,7 @@ interface Routine {
*
* @param N - number of indexed elements
* @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
* @returns arithmetic mean
*
* @example
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c
index 03e6af11ea32..8d795c27ee78 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c
@@ -17,21 +17,20 @@
*/
#include "stdlib/stats/base/dnanmeanwd.h"
-#include
#include
int main( void ) {
// Create a strided array:
- 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, 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 };
// Specify the number of elements:
- int64_t N = 6;
+ const int N = 6;
// Specify the stride length:
- int64_t stride = 2;
+ const int strideX = 2;
// Compute the arithmetic mean:
- double v = stdlib_strided_dnanmeanwd( N, x, stride );
+ double v = stdlib_strided_dnanmeanwd( N, x, strideX );
// Print the result:
printf( "mean: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
index aefd7c9a8c10..8cbe79514434 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
@@ -19,7 +19,7 @@
#ifndef STDLIB_STATS_BASE_DNANMEANWD_H
#define STDLIB_STATS_BASE_DNANMEANWD_H
-#include
+#include "stdlib/blas/base/shared.h"
/*
* If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler.
@@ -31,7 +31,12 @@ extern "C" {
/**
* Computes the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.
*/
-double stdlib_strided_dnanmeanwd( const int64_t N, const double *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dnanmeanwd)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
+*/
+double API_SUFFIX(stdlib_strided_dnanmeanwd_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
#ifdef __cplusplus
}
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
index a258c5ddbb53..26f73054c35b 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
@@ -18,6 +18,12 @@
'use strict';
+// MODULES //
+
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
+
+
// MAIN //
/**
@@ -43,50 +49,19 @@
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
* @returns {number} arithmetic mean
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
*
-* var v = dnanmeanwd( N, x, 1 );
+* var v = dnanmeanwd( x.length, x, 1 );
* // returns ~0.3333
*/
-function dnanmeanwd( N, x, stride ) {
- var mu;
- var ix;
- var v;
- var n;
- var i;
-
- if ( N <= 0 ) {
- return NaN;
- }
- if ( N === 1 || stride === 0 ) {
- return x[ 0 ];
- }
- if ( stride < 0 ) {
- ix = (1-N) * stride;
- } else {
- ix = 0;
- }
- mu = 0.0;
- n = 0;
- for ( i = 0; i < N; i++ ) {
- v = x[ ix ];
- if ( v === v ) {
- n += 1;
- mu += ( v-mu ) / n;
- }
- ix += stride;
- }
- if ( n === 0 ) {
- return NaN;
- }
- return mu;
+function dnanmeanwd( N, x, strideX ) {
+ return ndarray( N, x, strideX, stride2offset( N, strideX ) );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
index 453518fe3e67..758ec4ccd4f5 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
@@ -30,20 +30,19 @@ var addon = require( './../src/addon.node' );
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
* @returns {number} arithmetic mean
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
*
-* var v = dnanmeanwd( N, x, 1 );
+* var v = dnanmeanwd( x.length, x, 1 );
* // returns ~0.3333
*/
-function dnanmeanwd( N, x, stride ) {
- return addon( N, x, stride );
+function dnanmeanwd( N, x, strideX ) {
+ return addon( N, x, strideX );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
index 9bf3e4eb75e7..9f251ed36e80 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
@@ -28,20 +28,17 @@
* var dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = 3;
*
-* var v = dnanmeanwd( N, x, 1 );
+* var v = dnanmeanwd( x.length, x, 1 );
* // returns ~0.3333
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
* var dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
*
* var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
*
-* var v = dnanmeanwd.ndarray( N, x, 2, 1 );
+* var v = dnanmeanwd.ndarray( 4, x, 2, 1 );
* // returns 1.25
*/
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
index 3f76936b2e87..4beb52be8514 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
@@ -43,21 +43,19 @@
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
* @returns {number} arithmetic mean
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
*
* var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
*
-* var v = dnanmeanwd( N, x, 2, 1 );
+* var v = dnanmeanwd( 4, x, 2, 1 );
* // returns 1.25
*/
-function dnanmeanwd( N, x, stride, offset ) {
+function dnanmeanwd( N, x, strideX, offsetX ) {
var mu;
var ix;
var v;
@@ -67,10 +65,10 @@ function dnanmeanwd( N, x, stride, offset ) {
if ( N <= 0 ) {
return NaN;
}
- if ( N === 1 || stride === 0 ) {
- return x[ offset ];
+ if ( N === 1 || strideX === 0 ) {
+ return x[ offsetX ];
}
- ix = offset;
+ ix = offsetX;
mu = 0.0;
n = 0;
for ( i = 0; i < N; i++ ) {
@@ -79,7 +77,7 @@ function dnanmeanwd( N, x, stride, offset ) {
n += 1;
mu += ( v-mu ) / n;
}
- ix += stride;
+ ix += strideX;
}
if ( n === 0 ) {
return NaN;
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
index 3acbd37309a2..b10036df551d 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
@@ -20,8 +20,7 @@
// MODULES //
-var Float64Array = require( '@stdlib/array/float64' );
-var addon = require( './dnanmeanwd.native.js' );
+var addon = require( './../src/addon.node' );
// MAIN //
@@ -31,27 +30,20 @@ var addon = require( './dnanmeanwd.native.js' );
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
* @returns {number} arithmetic mean
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
*
* var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
*
-* var v = dnanmeanwd( N, x, 2, 1 );
+* var v = dnanmeanwd( 4, x, 2, 1 );
* // returns 1.25
*/
-function dnanmeanwd( N, x, stride, offset ) {
- var view;
- if ( stride < 0 ) {
- offset += (N-1) * stride;
- }
- view = new Float64Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offset), x.length-offset ); // eslint-disable-line max-len
- return addon( N, view, stride );
+function dnanmeanwd( N, x, strideX, offsetX ) {
+ return addon.ndarray( N, x, strideX, offsetX );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json
index 8bdb968d02e5..99aaf0c4da72 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json
@@ -1,6 +1,7 @@
{
"options": {
- "task":"build"
+ "task": "build",
+ "wasm": false
},
"fields": [
{
@@ -27,17 +28,18 @@
"confs": [
{
"task": "build",
+ "wasm": false,
"src": [
- "./src/dnanmeanwd.c"
+ "./src/main.c"
],
"include": [
"./include"
],
- "libraries": [
- "-lm"
- ],
+ "libraries": [],
"libpath": [],
"dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
"@stdlib/napi/export",
"@stdlib/napi/argv",
"@stdlib/napi/argv-int64",
@@ -47,31 +49,51 @@
},
{
"task": "benchmark",
+ "wasm": false,
"src": [
- "./src/dnanmeanwd.c"
+ "./src/main.c"
],
"include": [
"./include"
],
- "libraries": [
- "-lm"
- ],
+ "libraries": [],
"libpath": [],
- "dependencies": []
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset"
+ ]
},
{
"task": "examples",
+ "wasm": false,
"src": [
- "./src/dnanmeanwd.c"
+ "./src/main.c"
],
"include": [
"./include"
],
- "libraries": [
- "-lm"
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset"
+ ]
+ },
+ {
+ "task": "",
+ "wasm": true,
+ "src": [
+ "./src/main.c"
],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
"libpath": [],
- "dependencies": []
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset"
+ ]
}
]
}
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c
index 89c2a60995db..222f988aead4 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c
@@ -17,12 +17,11 @@
*/
#include "stdlib/stats/base/dnanmeanwd.h"
+#include "stdlib/napi/export.h"
#include "stdlib/napi/argv.h"
#include "stdlib/napi/argv_int64.h"
#include "stdlib/napi/argv_strided_float64array.h"
#include "stdlib/napi/create_double.h"
-#include "stdlib/napi/export.h"
-#include
/**
* Receives JavaScript callback invocation data.
@@ -34,10 +33,27 @@
static napi_value addon( napi_env env, napi_callback_info info ) {
STDLIB_NAPI_ARGV( env, info, argv, argc, 3 );
STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
- STDLIB_NAPI_ARGV_INT64( env, stride, argv, 2 );
- STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, stride, argv, 1 );
- STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dnanmeanwd( N, X, stride ), v );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dnanmeanwd( N, X, strideX ), v );
+ return v;
+}
+
+/**
+* Receives JavaScript callback invocation data.
+*
+* @param env environment under which the function is invoked
+* @param info callback data
+* @return Node-API value
+*/
+static napi_value addon_method( napi_env env, napi_callback_info info ) {
+ STDLIB_NAPI_ARGV( env, info, argv, argc, 4 );
+ STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+ STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dnanmeanwd_ndarray( N, X, strideX, offsetX ), v );
return v;
}
-STDLIB_NAPI_MODULE_EXPORT_FCN( addon )
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/dnanmeanwd.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c
similarity index 62%
rename from lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/dnanmeanwd.c
rename to lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c
index ba1d54d3a05f..a0a7c9c37e73 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/dnanmeanwd.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c
@@ -1,7 +1,7 @@
/**
* @license Apache-2.0
*
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
@@ -17,6 +17,8 @@
*/
#include "stdlib/stats/base/dnanmeanwd.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
#include
/**
@@ -40,29 +42,39 @@
* - Welford, B. P. 1962. "Note on a Method for Calculating Corrected Sums of Squares and Products." _Technometrics_ 4 (3). Taylor & Francis: 419–20. doi:[10.1080/00401706.1962.10490022](https://doi.org/10.1080/00401706.1962.10490022).
* - van Reeken, A. J. 1968. "Letters to the Editor: Dealing with Neely's Algorithms." _Communications of the ACM_ 11 (3): 149–50. doi:[10.1145/362929.362961](https://doi.org/10.1145/362929.362961).
*
-* @param N number of indexed elements
-* @param X input array
-* @param stride stride length
-* @return output value
+* @param N number of indexed elements
+* @param X input array
+* @param strideX stride length
+* @return output value
*/
-double stdlib_strided_dnanmeanwd( const int64_t N, const double *X, const int64_t stride ) {
- int64_t ix;
- int64_t i;
- int64_t n;
+double API_SUFFIX(stdlib_strided_dnanmeanwd)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ) {
+ const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+ return API_SUFFIX(stdlib_strided_dnanmeanwd_ndarray)( N, X, strideX, ox );
+}
+
+/**
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
+*
+* @param N number of indexed elements
+* @param X input array
+* @param strideX stride length
+* @param offsetX starting index for X
+* @return output value
+*/
+double API_SUFFIX(stdlib_strided_dnanmeanwd_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+ CBLAS_INT ix;
+ CBLAS_INT i;
+ CBLAS_INT n;
double mu;
double v;
if ( N <= 0 ) {
return 0.0 / 0.0; // NaN
}
- if ( N == 1 || stride == 0 ) {
- return X[ 0 ];
- }
- if ( stride < 0 ) {
- ix = (1-N) * stride;
- } else {
- ix = 0;
+ if ( N == 1 || strideX == 0 ) {
+ return X[ offsetX ];
}
+ ix = offsetX;
mu = 0.0;
n = 0;
for ( i = 0; i < N; i++ ) {
@@ -71,7 +83,7 @@ double stdlib_strided_dnanmeanwd( const int64_t N, const double *X, const int64_
n += 1;
mu += ( v-mu ) / (double)n;
}
- ix += stride;
+ ix += strideX;
}
if ( n == 0 ) {
return 0.0 / 0.0; // NaN;
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
index 8d3e5c441607..baed8323682c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
@@ -21,7 +21,6 @@
// MODULES //
var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var Float64Array = require( '@stdlib/array/float64' );
var dnanmeanwd = require( './../lib/dnanmeanwd.js' );
@@ -90,7 +89,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
});
tape( 'the function supports a `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -106,15 +104,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
NaN // 4
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, 2 );
+ v = dnanmeanwd( 4, x, 2 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -130,8 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
NaN // 0
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, -2 );
+ v = dnanmeanwd( 4, x, -2 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
@@ -152,7 +147,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
tape( 'the function supports view offsets', function test( t ) {
var x0;
var x1;
- var N;
var v;
x0 = new Float64Array([
@@ -169,9 +163,8 @@ tape( 'the function supports view offsets', function test( t ) {
]);
x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
- N = floor(x1.length / 2);
- v = dnanmeanwd( N, x1, 2 );
+ v = dnanmeanwd( 5, x1, 2 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
index 86d88d56366d..cf5754b12d8e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
@@ -22,7 +22,6 @@
var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -181,7 +180,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
});
tape( 'the function supports a `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -197,15 +195,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
NaN // 4
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, 2 );
+ v = dnanmeanwd( 4, x, 2 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -221,8 +217,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
NaN // 0
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, -2 );
+ v = dnanmeanwd( 4, x, -2 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
@@ -243,7 +238,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
tape( 'the function supports view offsets', opts, function test( t ) {
var x0;
var x1;
- var N;
var v;
x0 = new Float64Array([
@@ -260,9 +254,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
]);
x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
- N = floor(x1.length / 2);
- v = dnanmeanwd( N, x1, 2 );
+ v = dnanmeanwd( 5, x1, 2 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
index 7dd106806e3e..a911e86e95c7 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
@@ -21,7 +21,6 @@
// MODULES //
var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var Float64Array = require( '@stdlib/array/float64' );
var dnanmeanwd = require( './../lib/ndarray.js' );
@@ -90,7 +89,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
});
tape( 'the function supports a `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -106,15 +104,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
NaN // 4
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, 2, 0 );
+ v = dnanmeanwd( 4, x, 2, 0 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -130,8 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
NaN // 0
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, -2, 6 );
+ v = dnanmeanwd( 4, x, -2, 6 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
@@ -150,7 +145,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
});
tape( 'the function supports an `offset` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -166,9 +160,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
NaN,
NaN // 4
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, 2, 1 );
+ v = dnanmeanwd( 5, x, 2, 1 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
index b6e78c8c14ab..574982c528a2 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
@@ -22,7 +22,6 @@
var resolve = require( 'path' ).resolve;
var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -99,7 +98,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
});
tape( 'the function supports a `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -115,15 +113,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
NaN // 4
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, 2, 0 );
+ v = dnanmeanwd( 4, x, 2, 0 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -139,8 +135,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
NaN // 0
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, -2, 6 );
+ v = dnanmeanwd( 4, x, -2, 6 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();
@@ -159,7 +154,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
});
tape( 'the function supports an `offset` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -175,9 +169,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
NaN,
NaN // 4
]);
- N = floor( x.length / 2 );
- v = dnanmeanwd( N, x, 2, 1 );
+ v = dnanmeanwd( 5, x, 2, 1 );
t.strictEqual( v, 1.25, 'returns expected value' );
t.end();