From bf6ac725bce750edddd86d53103a60430e912c31 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sun, 29 Dec 2024 13:21:51 +0530
Subject: [PATCH 1/9] feat: ndarray-dsmeanwd

---
 .../@stdlib/stats/base/dsmeanwd/README.md     | 130 +++++++++++++++---
 .../base/dsmeanwd/benchmark/benchmark.js      |  18 +--
 .../dsmeanwd/benchmark/benchmark.native.js    |  14 +-
 .../dsmeanwd/benchmark/benchmark.ndarray.js   |  18 +--
 .../benchmark/benchmark.ndarray.native.js     |  14 +-
 .../dsmeanwd/benchmark/c/benchmark.length.c   |  51 ++++++-
 .../@stdlib/stats/base/dsmeanwd/docs/repl.txt |  36 +++--
 .../stats/base/dsmeanwd/docs/types/index.d.ts |  12 +-
 .../stats/base/dsmeanwd/examples/c/example.c  |   9 +-
 .../stats/base/dsmeanwd/examples/index.js     |  14 +-
 .../@stdlib/stats/base/dsmeanwd/include.gypi  |   2 +-
 .../include/stdlib/stats/base/dsmeanwd.h      |  10 +-
 .../stats/base/dsmeanwd/lib/dsmeanwd.js       |  38 ++---
 .../base/dsmeanwd/lib/dsmeanwd.native.js      |   9 +-
 .../@stdlib/stats/base/dsmeanwd/lib/index.js  |   7 +-
 .../stats/base/dsmeanwd/lib/ndarray.js        |  18 ++-
 .../stats/base/dsmeanwd/lib/ndarray.native.js |  20 +--
 .../@stdlib/stats/base/dsmeanwd/manifest.json |  77 ++++++++++-
 .../@stdlib/stats/base/dsmeanwd/src/addon.c   |  60 ++++++++
 .../@stdlib/stats/base/dsmeanwd/src/addon.cpp | 117 ----------------
 .../base/dsmeanwd/src/{dsmeanwd.c => main.c}  |  34 +++--
 .../stats/base/dsmeanwd/test/test.dsmeanwd.js |  12 +-
 .../dsmeanwd/test/test.dsmeanwd.native.js     |  13 +-
 .../stats/base/dsmeanwd/test/test.ndarray.js  |  13 +-
 .../base/dsmeanwd/test/test.ndarray.native.js |  13 +-
 25 files changed, 424 insertions(+), 335 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
 delete mode 100644 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.cpp
 rename lib/node_modules/@stdlib/stats/base/dsmeanwd/src/{dsmeanwd.c => main.c} (67%)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
index 977729836d8f..d47ce5038169 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
@@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as
 var dsmeanwd = require( '@stdlib/stats/base/dsmeanwd' );
 ```
 
-#### dsmeanwd( N, x, stride )
+#### dsmeanwd( N, x, strideX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and returning an extended precision result.
 
@@ -59,9 +59,8 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
 
-var v = dsmeanwd( N, x, 1 );
+var v = dsmeanwd( x.length, x, 1 );
 // returns ~0.3333
 ```
 
@@ -69,18 +68,16 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
--   **stride**: index increment for `x`.
+-   **strideX**: Stride Length 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 `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dsmeanwd( N, x, 2 );
+var v = dsmeanwd( 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 Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = dsmeanwd( N, x1, 2 );
+var v = dsmeanwd( 4, x1, 2 );
 // returns 1.25
 ```
 
-#### dsmeanwd.ndarray( N, x, stride, offset )
+#### dsmeanwd.ndarray( N, x, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 
@@ -109,9 +103,8 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
 
-var v = dsmeanwd.ndarray( N, x, 1, 0 );
+var v = dsmeanwd.ndarray( x.length, x, 1, 0 );
 // returns ~0.33333
 ```
 
@@ -123,12 +116,10 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dsmeanwd.ndarray( N, x, 2, 1 );
+var v = dsmeanwd.ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -141,7 +132,7 @@ var v = dsmeanwd.ndarray( N, x, 2, 1 );
 ## Notes
 
 -   If `N <= 0`, both functions return `NaN`.
--   Accumulated intermediate values are stored as double-precision floating-point numbers. 
+-   Accumulated intermediate values are stored as double-precision floating-point numbers.
 
 </section>
 
@@ -176,6 +167,107 @@ console.log( v );
 
 <!-- /.examples -->
 
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dsmeanwd.h"
+```
+
+#### stdlib_strided_dsmeanwd( N, \*X, strideX )
+
+Calculate the mean value of a single-precision floating-point strided array, ignoring `NaN` values.
+
+```c
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+
+float v = stdlib_strided_dsmeanwd( 4, x, 2 );
+// returns 1.25
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] float*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dsmeanwd( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dsmeanwd_ndarray( N, \*X, strideX, offsetX )
+
+Computes the mean value of a single-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+
+```c
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+
+float v = stdlib_strided_dsmeanwd_ndarray( 4, x, 2, 0 );
+// returns 1.25
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] float*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dsmeanwd_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dsmeanwd.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Create a strided array:
+    const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+
+    // Specify the number of elements:
+    const int N = 4;
+
+    // Specify the stride length:
+    const int strideX = 2;
+
+    // Compute the arithmetic mean:
+    float v = stdlib_strided_dsmeanwd( N, x, strideX );
+
+    // Print the result:
+    printf( "mean: %lf\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 * * *
 
 <section class="references">
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.js
index d5e6790bd110..3fcdbf882bc4 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var dsmeanwd = require( './../lib/dsmeanwd.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +45,7 @@ var dsmeanwd = require( './../lib/dsmeanwd.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.native.js
index 479f0260c0f1..440108e0f4f7 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var dsmeanwd = tryRequire( resolve( __dirname, './../lib/dsmeanwd.native.js' ) )
 var opts = {
 	'skip': ( dsmeanwd instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
@@ -48,13 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.js
index b36bab63602a..86ef4e86f35a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var dsmeanwd = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +45,7 @@ var dsmeanwd = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.native.js
index aad2a69676e3..cf0105580099 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var dsmeanwd = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dsmeanwd instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
@@ -48,13 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
index 93ac2df49c90..d46a830b1dde 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
@@ -94,10 +94,10 @@ static float rand_float( 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;
 	float x[ len ];
-	double v;
+	float v;
 	double t;
 	int i;
 
@@ -120,6 +120,40 @@ 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;
+	float x[ len ];
+	float v;
+	double t;
+	int i;
+
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
+	}
+	v = 0.0f;
+	t = tic();
+	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
+		v = stdlib_strided_dsmeanwd_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 +176,18 @@ 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/dsmeanwd/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/repl.txt
index c849cc2c9c1f..7a1afd4a17cc 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/repl.txt
@@ -1,10 +1,10 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array using Welford's algorithm with extended accumulation and returning an
     extended precision result.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
+    The `N` and stride parameters determine which elements in `x` are accessed
     at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
@@ -20,8 +20,8 @@
     x: Float32Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
     Returns
     -------
@@ -35,28 +35,25 @@
     > {{alias}}( x.length, x, 1 )
     ~0.3333
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
-    ~0.3333
+    > {{alias}}( 4, x, 2 )
+    NaN
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
-    ~-0.3333
+    > {{alias}}( 4, x1, 2 )
+    NaN
+
 
-{{alias}}.ndarray( N, x, stride, offset )
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array using Welford's algorithm with extended accumulation and alternative
     indexing semantics and returning an extended precision result.
 
     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
@@ -67,10 +64,10 @@
     x: Float32Array
         Input array.
 
-    stride: integer
+    strideX: integer
         Index increment.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -87,9 +84,8 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
-    ~-0.3333
+    > {{alias}}.ndarray( 4, x, 2, 1 )
+    NaN
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/types/index.d.ts
index 0f5d86942a1f..df5079cad82c 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/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 = dsmeanwd( x.length, x, 1 );
 	* // returns ~0.3333
 	*/
-	( N: number, x: Float32Array, stride: number ): number;
+	( N: number, x: Float32Array, strideX: number ): number;
 
 	/**
 	* Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 	*
 	* @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 = dsmeanwd.ndarray( x.length, x, 1, 0 );
 	* // returns ~0.3333
 	*/
-	ndarray( N: number, x: Float32Array, stride: number, offset: number ): number;
+	ndarray( N: number, x: Float32Array, 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/dsmeanwd/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/c/example.c
index c090beb38721..8d18f17c5f85 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/c/example.c
@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/stats/base/dsmeanwd.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {
 	// Create a strided array:
-	float x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+	const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 	// Specify the number of elements:
-	int64_t N = 4;
+	const int N = 4;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int strideX = 2;
 
 	// Compute the arithmetic mean:
-	double v = stdlib_strided_dsmeanwd( N, x, stride );
+	float v = stdlib_strided_dsmeanwd( N, x, strideX );
 
 	// Print the result:
 	printf( "mean: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/index.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/index.js
index 0f66c7a3c6bb..3ea2c89b12e7 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/index.js
@@ -18,18 +18,12 @@
 
 'use strict';
 
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float32Array = require( '@stdlib/array/float32' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var dsmeanwd = require( './../lib' );
 
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+	'dtype': 'float32'
+});
 console.log( x );
 
 var v = dsmeanwd( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/include.gypi b/lib/node_modules/@stdlib/stats/base/dsmeanwd/include.gypi
index 868c5c12e852..26476a8c2655 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/include.gypi
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/include.gypi
@@ -36,7 +36,7 @@
 
     # Source files:
     'src_files': [
-      '<(src_dir)/addon.cpp',
+      '<(src_dir)/addon.c',
       '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).src; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
     ],
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h b/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h
index deaf9b648005..ad3e97575a57 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h
@@ -19,8 +19,7 @@
 #ifndef STDLIB_STATS_BASE_DSMEANWD_H
 #define STDLIB_STATS_BASE_DSMEANWD_H
 
-#include <stdint.h>
-
+#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 +30,12 @@ extern "C" {
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
 */
-double stdlib_strided_dsmeanwd( const int64_t N, const float *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dsmeanwd)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+
+/**
+* Computes the mean absolute value of a single-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics .
+*/
+double API_SUFFIX(stdlib_strided_dsmeanwd_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
 #ifdef __cplusplus
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.js
index 145f4703d966..371fa09b9999 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.js
@@ -18,6 +18,12 @@
 
 'use strict';
 
+// MODULES //
+
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
+
+
 // MAIN //
 
 /**
@@ -43,43 +49,19 @@
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float32Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} arithmetic mean
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = dsmeanwd( N, x, 1 );
+* var v = dsmeanwd( x.length, x, 1 );
 * // returns ~0.3333
 */
-function dsmeanwd( N, x, stride ) {
-	var mu;
-	var ix;
-	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++ ) {
-		n += 1;
-		mu += ( x[ix]-mu ) / n;
-		ix += stride;
-	}
-	return mu;
+function dsmeanwd( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.native.js
index 3098c6c9398d..a5021176773e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/dsmeanwd.native.js
@@ -30,20 +30,19 @@ var addon = require( './../src/addon.node' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float32Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} arithmetic mean
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = dsmeanwd( N, x, 1 );
+* var v = dsmeanwd( x.length, x, 1 );
 * // returns ~0.3333
 */
-function dsmeanwd( N, x, stride ) {
-	return addon( N, x, stride );
+function dsmeanwd( N, x, strideX ) {
+	return addon( N, x, strideX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/index.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/index.js
index 296a10b9071c..11cc615aad26 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/index.js
@@ -28,20 +28,17 @@
 * var dsmeanwd = require( '@stdlib/stats/base/dsmeanwd' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = dsmeanwd( N, x, 1 );
+* var v = dsmeanwd( x.length, x, 1 );
 * // returns ~0.3333
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dsmeanwd = require( '@stdlib/stats/base/dsmeanwd' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsmeanwd.ndarray( N, x, 2, 1 );
+* var v = dsmeanwd.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.js
index 703769242ff2..d7451da49fb2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.js
@@ -43,21 +43,19 @@
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float32Array} 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 Float32Array = require( '@stdlib/array/float32' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsmeanwd( N, x, 2, 1 );
+* var v = dsmeanwd( 4, x, 2, 1 );
 * // returns 1.25
 */
-function dsmeanwd( N, x, stride, offset ) {
+function dsmeanwd( N, x, strideX, offsetX ) {
 	var mu;
 	var ix;
 	var n;
@@ -66,16 +64,16 @@ function dsmeanwd( 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++ ) {
 		n += 1;
 		mu += ( x[ix]-mu ) / n;
-		ix += stride;
+		ix += strideX;
 	}
 	return mu;
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.native.js
index 17fe07bab008..b20e79af3b75 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/lib/ndarray.native.js
@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var Float32Array = require( '@stdlib/array/float32' );
-var addon = require( './dsmeanwd.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -31,27 +30,20 @@ var addon = require( './dsmeanwd.native.js' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float32Array} 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 Float32Array = require( '@stdlib/array/float32' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dsmeanwd( N, x, 2, 1 );
+* var v = dsmeanwd( 4, x, 2, 1 );
 * // returns 1.25
 */
-function dsmeanwd( N, x, stride, offset ) {
-	var view;
-	if ( stride < 0 ) {
-		offset += (N-1) * stride;
-	}
-	view = new Float32Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offset), x.length-offset ); // eslint-disable-line max-len
-	return addon( N, view, stride );
+function dsmeanwd( N, x, strideX, offsetX ) {
+	return addon.ndarray( N, x, strideX, offsetX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
index 6752f317467e..f3b060782431 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
@@ -1,5 +1,8 @@
 {
-  "options": {},
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
   "fields": [
     {
       "field": "src",
@@ -24,17 +27,81 @@
   ],
   "confs": [
     {
+      "task": "build",
+      "wasm": false,
       "src": [
-        "./src/dsmeanwd.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/assert/is-positive-zero",
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/napi/export",
+        "@stdlib/napi/argv",
+        "@stdlib/napi/argv-int64",
+        "@stdlib/napi/argv-strided-float32array",
+        "@stdlib/napi/create-double"
+      ]
+    },
+    {
+      "task": "benchmark",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/assert/is-positive-zero"
+      ]
+    },
+    {
+      "task": "examples",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/assert/is-positive-zero"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
       ],
+      "libraries": [],
       "libpath": [],
-      "dependencies": []
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/assert/is-positive-zero"
+      ]
     }
   ]
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
new file mode 100644
index 000000000000..4eeaf1310951
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
@@ -0,0 +1,60 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2020 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.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dsmeanwd.h"
+#include "stdlib/napi/export.h"
+#include "stdlib/napi/argv.h"
+#include "stdlib/napi/argv_int64.h"
+#include "stdlib/napi/argv_strided_float32array.h"
+#include "stdlib/napi/create_double.h"
+#include <node_api.h>
+
+/**
+* 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( 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, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmeanwd( 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_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmeanwd_ndarray( N, X, strideX, offsetX ), v );
+	return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.cpp b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.cpp
deleted file mode 100644
index 964fe15d4b98..000000000000
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.cpp
+++ /dev/null
@@ -1,117 +0,0 @@
-/**
-* @license Apache-2.0
-*
-* Copyright (c) 2020 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.
-* You may obtain a copy of the License at
-*
-*    http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*/
-
-#include "stdlib/stats/base/dsmeanwd.h"
-#include <node_api.h>
-#include <stdint.h>
-#include <stdlib.h>
-#include <stdbool.h>
-#include <assert.h>
-
-/**
-* Add-on namespace.
-*/
-namespace stdlib_stats_base_dsmeanwd {
-
-	/**
-	* Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
-	*
-	* ## Notes
-	*
-	* -   When called from JavaScript, the function expects three arguments:
-	*
-	*     -   `N`: number of indexed elements
-	*     -   `X`: input array
-	*     -   `stride`: stride length
-	*/
-	napi_value node_dsmeanwd( napi_env env, napi_callback_info info ) {
-		napi_status status;
-
-		size_t argc = 3;
-		napi_value argv[ 3 ];
-		status = napi_get_cb_info( env, info, &argc, argv, nullptr, nullptr );
-		assert( status == napi_ok );
-
-		if ( argc < 3 ) {
-			napi_throw_error( env, nullptr, "invalid invocation. Must provide 3 arguments." );
-			return nullptr;
-		}
-
-		napi_valuetype vtype0;
-		status = napi_typeof( env, argv[ 0 ], &vtype0 );
-		assert( status == napi_ok );
-		if ( vtype0 != napi_number ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. First argument must be a number." );
-			return nullptr;
-		}
-
-		bool res;
-		status = napi_is_typedarray( env, argv[ 1 ], &res );
-		assert( status == napi_ok );
-		if ( res == false ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float32Array." );
-			return nullptr;
-		}
-
-		napi_valuetype vtype2;
-		status = napi_typeof( env, argv[ 2 ], &vtype2 );
-		assert( status == napi_ok );
-		if ( vtype2 != napi_number ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Third argument must be a number." );
-			return nullptr;
-		}
-
-		int64_t N;
-		status = napi_get_value_int64( env, argv[ 0 ], &N );
-		assert( status == napi_ok );
-
-		int64_t stride;
-		status = napi_get_value_int64( env, argv[ 2 ], &stride );
-		assert( status == napi_ok );
-
-		napi_typedarray_type vtype1;
-		size_t xlen;
-		void *X;
-		status = napi_get_typedarray_info( env, argv[ 1 ], &vtype1, &xlen, &X, nullptr, nullptr );
-		assert( status == napi_ok );
-		if ( vtype1 != napi_float32_array ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float32Array." );
-			return nullptr;
-		}
-		if ( (N-1)*llabs(stride) >= (int64_t)xlen ) {
-			napi_throw_range_error( env, nullptr, "invalid argument. Second argument has insufficient elements based on the associated stride and the number of indexed elements." );
-			return nullptr;
-		}
-
-		napi_value v;
-		status = napi_create_double( env, stdlib_strided_dsmeanwd( N, (float *)X, stride ), &v );
-		assert( status == napi_ok );
-
-		return v;
-	}
-
-	napi_value Init( napi_env env, napi_value exports ) {
-		napi_status status;
-		napi_value fcn;
-		status = napi_create_function( env, "exports", NAPI_AUTO_LENGTH, node_dsmeanwd, NULL, &fcn );
-		assert( status == napi_ok );
-		return fcn;
-	}
-
-	NAPI_MODULE( NODE_GYP_MODULE_NAME, Init )
-} // end namespace stdlib_stats_base_dsmeanwd
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/dsmeanwd.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
similarity index 67%
rename from lib/node_modules/@stdlib/stats/base/dsmeanwd/src/dsmeanwd.c
rename to lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
index 128c683c69b9..15544f1a9e59 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/dsmeanwd.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2024 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/dsmeanwd.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
 #include <stdint.h>
 
 /**
@@ -42,23 +44,37 @@
 *
 * @param N       number of indexed elements
 * @param X       input array
-* @param stride  stride length
+* @param strideX  stride length
 * @return        output value
 */
-double stdlib_strided_dsmeanwd( const int64_t N, const float *X, const int64_t stride ) {
-	int64_t ix;
-	int64_t i;
-	int64_t n;
+double API_SUFFIX(stdlib_strided_dsmeanwd)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
+	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+	return API_SUFFIX(stdlib_strided_dsmeanwd_ndarray)( N, X, strideX, ox );
+}
+
+/**
+* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using 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_dsmeanwd_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+	CBLAS_INT ix;
+	CBLAS_INT i;
+	CBLAS_INT n;
 	double mu;
 
 	if ( N <= 0 ) {
 		return 0.0 / 0.0; // NaN
 	}
-	if ( N == 1 || stride == 0 ) {
+	if ( N == 1 || strideX == 0 ) {
 		return X[ 0 ];
 	}
 	if ( stride < 0 ) {
-		ix = (1-N) * stride;
+		ix = (1-N) * strideX;
 	} else {
 		ix = 0;
 	}
@@ -67,7 +83,7 @@ double stdlib_strided_dsmeanwd( const int64_t N, const float *X, const int64_t s
 	for ( i = 0; i < N; i++ ) {
 		n += 1;
 		mu += ( (double)X[ix]-mu ) / (double)n;
-		ix += stride;
+		ix += strideX;
 	}
 	return mu;
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js
index de59955668d4..557e63761f38 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.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 Float32Array = require( '@stdlib/array/float32' );
 var dsmeanwd = require( './../lib/dsmeanwd.js' );
@@ -87,7 +86,6 @@ 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;
 
@@ -102,8 +100,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, 2 );
+	v = dsmeanwd( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -125,8 +122,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, -2 );
+	v = dsmeanwd( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -147,7 +143,6 @@ 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 Float32Array([
@@ -163,9 +158,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dsmeanwd( N, x1, 2 );
+	v = dsmeanwd( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.native.js
index 7794cc741c0a..db93db657a16 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.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 Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -178,7 +177,6 @@ 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;
 
@@ -193,15 +191,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, 2 );
+	v = dsmeanwd( 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;
 
@@ -216,8 +212,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, -2 );
+	v = dsmeanwd( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -238,7 +233,6 @@ 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 Float32Array([
@@ -254,9 +248,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dsmeanwd( N, x1, 2 );
+	v = dsmeanwd( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.ndarray.js
index fe5c62427148..dd9acd1c58b3 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/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 Float32Array = require( '@stdlib/array/float32' );
 var dsmeanwd = require( './../lib/ndarray.js' );
@@ -87,7 +86,6 @@ 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;
 
@@ -102,15 +100,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, 2, 0 );
+	v = dsmeanwd( 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;
 
@@ -125,8 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, -2, 6 );
+	v = dsmeanwd( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -145,7 +140,6 @@ 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;
 
@@ -159,9 +153,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		3.0,
 		4.0   // 3
 	]);
-	N = floor( x.length / 2 );
 
-	v = dsmeanwd( N, x, 2, 1 );
+	v = dsmeanwd( 4, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.ndarray.native.js
index 35f0294e3f4a..41faa64f5f08 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/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 Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -96,7 +95,6 @@ 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;
 
@@ -111,15 +109,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, 2, 0 );
+	v = dsmeanwd( 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;
 
@@ -134,8 +130,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dsmeanwd( N, x, -2, 6 );
+	v = dsmeanwd( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -154,7 +149,6 @@ 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;
 
@@ -168,9 +162,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
 		3.0,
 		4.0   // 3
 	]);
-	N = floor( x.length / 2 );
 
-	v = dsmeanwd( N, x, 2, 1 );
+	v = dsmeanwd( 4, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();

From 0afa42280abc7b189b874d03f13271b54a6a6602 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sun, 29 Dec 2024 13:49:47 +0530
Subject: [PATCH 2/9] fix: CI errors

---
 .../@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c  | 2 +-
 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c        | 2 +-
 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c         | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
index d46a830b1dde..0e595e84dc8b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
@@ -104,7 +104,7 @@ static double benchmark1( int iterations, int len ) {
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
 	}
-	v = 0.0;
+	v = 0.0f;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
 		v = stdlib_strided_dsmeanwd( len, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
index 4eeaf1310951..b3f5b5b34130 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2024 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.
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
index 15544f1a9e59..58adf610bfa6 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
@@ -73,7 +73,7 @@ double API_SUFFIX(stdlib_strided_dsmeanwd_ndarray)( const CBLAS_INT N, const flo
 	if ( N == 1 || strideX == 0 ) {
 		return X[ 0 ];
 	}
-	if ( stride < 0 ) {
+	if ( strideX < 0 ) {
 		ix = (1-N) * strideX;
 	} else {
 		ix = 0;

From d3c674c35b8f1c8f98c6b6846cdf734038b87d32 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sun, 29 Dec 2024 14:29:08 +0530
Subject: [PATCH 3/9] fix: uninitvar

---
 .../@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c   | 1 +
 .../@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js            | 1 -
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
index 0e595e84dc8b..2adaacdf3878 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
@@ -107,6 +107,7 @@ static double benchmark1( int iterations, int len ) {
 	v = 0.0f;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
 		v = stdlib_strided_dsmeanwd( len, x, 1 );
 		if ( v != v ) {
 			printf( "should not return NaN\n" );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js
index 557e63761f38..fa8bc3d7051d 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/test/test.dsmeanwd.js
@@ -107,7 +107,6 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 

From d27dd9a240c55da9a3cb811e739319874c709350 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Tue, 31 Dec 2024 21:19:40 +0530
Subject: [PATCH 4/9] fix: stuff from code review

---
 .../@stdlib/stats/base/dsmeanwd/README.md       | 12 ++++++------
 .../dsmeanwd/benchmark/c/benchmark.length.c     |  8 ++++----
 .../@stdlib/stats/base/dsmeanwd/docs/repl.txt   | 17 +++++++++--------
 .../stats/base/dsmeanwd/examples/c/example.c    |  2 +-
 .../include/stdlib/stats/base/dsmeanwd.h        |  4 ++--
 .../@stdlib/stats/base/dsmeanwd/manifest.json   | 14 +++-----------
 .../@stdlib/stats/base/dsmeanwd/src/main.c      | 14 +++++---------
 7 files changed, 30 insertions(+), 41 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
index d47ce5038169..bc388a1e1597 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
@@ -68,7 +68,7 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
--   **strideX**: Stride Length for `x`.
+-   **strideX**: stride Length 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`,
 
@@ -179,12 +179,12 @@ console.log( v );
 
 #### stdlib_strided_dsmeanwd( N, \*X, strideX )
 
-Calculate the mean value of a single-precision floating-point strided array, ignoring `NaN` values.
+Computes the arithmetic mean of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
-float v = stdlib_strided_dsmeanwd( 4, x, 2 );
+double v = stdlib_strided_dsmeanwd( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -200,12 +200,12 @@ double stdlib_strided_dsmeanwd( const CBLAS_INT N, const float *X, const CBLAS_I
 
 #### stdlib_strided_dsmeanwd_ndarray( N, \*X, strideX, offsetX )
 
-Computes the mean value of a single-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+Computes the arithmetic mean of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
-float v = stdlib_strided_dsmeanwd_ndarray( 4, x, 2, 0 );
+double v = stdlib_strided_dsmeanwd_ndarray( 4, x, 2, 0 );
 // returns 1.25
 ```
 
@@ -253,7 +253,7 @@ int main( void ) {
     const int strideX = 2;
 
     // Compute the arithmetic mean:
-    float v = stdlib_strided_dsmeanwd( N, x, strideX );
+    double v = stdlib_strided_dsmeanwd( N, x, strideX );
 
     // Print the result:
     printf( "mean: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
index 2adaacdf3878..def4bfe5dc7c 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/benchmark/c/benchmark.length.c
@@ -97,14 +97,14 @@ static float rand_float( void ) {
 static double benchmark1( int iterations, int len ) {
 	double elapsed;
 	float x[ len ];
-	float v;
+	double v;
 	double t;
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
 	}
-	v = 0.0f;
+	v = 0.0;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
 		// cppcheck-suppress uninitvar
@@ -131,14 +131,14 @@ static double benchmark1( int iterations, int len ) {
 static double benchmark2( int iterations, int len ) {
 	double elapsed;
 	float x[ len ];
-	float v;
+	double v;
 	double t;
 	int i;
 
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
 	}
-	v = 0.0f;
+	v = 0.0;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
 		// cppcheck-suppress uninitvar
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/repl.txt
index 7a1afd4a17cc..97591d58be30 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/docs/repl.txt
@@ -4,7 +4,8 @@
     array using Welford's algorithm with extended accumulation and returning an
     extended precision result.
 
-    The `N` and stride parameters determine which elements in `x` are accessed
+    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
@@ -21,7 +22,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     Returns
     -------
@@ -37,14 +38,14 @@
 
     // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > {{alias}}( 4, x, 2 )
-    NaN
+    > {{alias}}( 3, x, 2 )
+    ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > {{alias}}( 4, x1, 2 )
-    NaN
+    > {{alias}}( 3, x1, 2 )
+    ~-0.3333
 
 
 {{alias}}.ndarray( N, x, strideX, offsetX )
@@ -84,8 +85,8 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
-    > {{alias}}.ndarray( 4, x, 2, 1 )
-    NaN
+    > {{alias}}.ndarray( 3, x, 2, 1 )
+    ~-0.3333
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/c/example.c
index 8d18f17c5f85..59dcd28b41cf 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/examples/c/example.c
@@ -30,7 +30,7 @@ int main( void ) {
 	const int strideX = 2;
 
 	// Compute the arithmetic mean:
-	float v = stdlib_strided_dsmeanwd( N, x, strideX );
+	double v = stdlib_strided_dsmeanwd( N, x, strideX );
 
 	// Print the result:
 	printf( "mean: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h b/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h
index ad3e97575a57..e8e3fd7e4ec0 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/include/stdlib/stats/base/dsmeanwd.h
@@ -28,12 +28,12 @@ extern "C" {
 #endif
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
+* Computes the arithmetic mean of a single-precision floating-point strided array `x ` using Welford's algorithm with extended accumulation and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmeanwd)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 
 /**
-* Computes the mean absolute value of a single-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics .
+* Computes the arithmetic mean of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmeanwd_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
index f3b060782431..7a0fdb1d890b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
@@ -40,8 +40,6 @@
       "dependencies": [
         "@stdlib/blas/base/shared",
         "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-positive-zero",
-        "@stdlib/math/base/assert/is-nan",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
@@ -62,9 +60,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-positive-zero"
+        "@stdlib/strided/base/stride2offset"
       ]
     },
     {
@@ -80,9 +76,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-positive-zero"
+        "@stdlib/strided/base/stride2offset"
       ]
     },
     {
@@ -98,9 +92,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-positive-zero"
+        "@stdlib/strided/base/stride2offset"
       ]
     }
   ]
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
index 58adf610bfa6..b689bea75c99 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
@@ -42,10 +42,10 @@
 * -   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 N        number of indexed elements
+* @param X        input array
 * @param strideX  stride length
-* @return        output value
+* @return         output value
 */
 double API_SUFFIX(stdlib_strided_dsmeanwd)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
 	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
@@ -53,7 +53,7 @@ double API_SUFFIX(stdlib_strided_dsmeanwd)( const CBLAS_INT N, const float *X, c
 }
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+* Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 *
 * @param N        number of indexed elements
 * @param X        input array
@@ -73,11 +73,7 @@ double API_SUFFIX(stdlib_strided_dsmeanwd_ndarray)( const CBLAS_INT N, const flo
 	if ( N == 1 || strideX == 0 ) {
 		return X[ 0 ];
 	}
-	if ( strideX < 0 ) {
-		ix = (1-N) * strideX;
-	} else {
-		ix = 0;
-	}
+	ix = offsetX;
 	mu = 0.0;
 	n = 0;
 	for ( i = 0; i < N; i++ ) {

From d57726d0aa7502abdf737bf7b24b566cdfe88733 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Fri, 3 Jan 2025 14:21:51 +0530
Subject: [PATCH 5/9] chore: minor clean up

---
 .../@stdlib/stats/base/dsmeanwd/README.md          | 14 ++++----------
 .../@stdlib/stats/base/dsmeanwd/src/addon.c        |  2 +-
 .../@stdlib/stats/base/dsmeanwd/src/main.c         |  4 ++--
 3 files changed, 7 insertions(+), 13 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
index bc388a1e1597..bcc9ca788314 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
@@ -145,18 +145,12 @@ var v = dsmeanwd.ndarray( 4, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float32Array = require( '@stdlib/array/float32' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var dsmeanwd = require( '@stdlib/stats/base/dsmeanwd' );
 
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+    'dtype': 'float32'
+});
 console.log( x );
 
 var v = dsmeanwd( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
index b3f5b5b34130..36688371ce7b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 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.
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
index b689bea75c99..b594b282a2e8 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 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.
@@ -71,7 +71,7 @@ double API_SUFFIX(stdlib_strided_dsmeanwd_ndarray)( const CBLAS_INT N, const flo
 		return 0.0 / 0.0; // NaN
 	}
 	if ( N == 1 || strideX == 0 ) {
-		return X[ 0 ];
+		return X[ offsetX ];
 	}
 	ix = offsetX;
 	mu = 0.0;

From f8f7268373404714d8fa4225d9041b5d8d8f10e4 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 4 Jan 2025 23:14:29 +0530
Subject: [PATCH 6/9] chore: markdown clean up

---
 lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md  | 4 ++--
 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c | 1 -
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
index bcc9ca788314..94393808f547 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
@@ -179,7 +179,7 @@ Computes the arithmetic mean of a single-precision floating-point strided array
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 double v = stdlib_strided_dsmeanwd( 4, x, 2 );
-// returns 1.25
+// returns 4.0
 ```
 
 The function accepts the following arguments:
@@ -200,7 +200,7 @@ Computes the arithmetic mean of a single-precision floating-point strided array
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 double v = stdlib_strided_dsmeanwd_ndarray( 4, x, 2, 0 );
-// returns 1.25
+// returns 4.0
 ```
 
 The function accepts the following arguments:
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
index b594b282a2e8..afb98a06b21f 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
@@ -19,7 +19,6 @@
 #include "stdlib/stats/base/dsmeanwd.h"
 #include "stdlib/blas/base/shared.h"
 #include "stdlib/strided/base/stride2offset.h"
-#include <stdint.h>
 
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.

From 4bf2298aa127806fd54d0ee2b9e10a342a0e5662 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 18 Jan 2025 18:16:11 +0530
Subject: [PATCH 7/9] chore: minor clean up

---
 lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md   | 6 +++---
 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c | 4 ++--
 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c  | 2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
index 94393808f547..ae43d8291b6d 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md
@@ -68,7 +68,7 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
--   **strideX**: stride Length for `x`.
+-   **strideX**: stride length 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`,
 
@@ -173,7 +173,7 @@ console.log( v );
 
 #### stdlib_strided_dsmeanwd( N, \*X, strideX )
 
-Computes the arithmetic mean of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and returning an extended precision result.
+Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
@@ -194,7 +194,7 @@ double stdlib_strided_dsmeanwd( const CBLAS_INT N, const float *X, const CBLAS_I
 
 #### stdlib_strided_dsmeanwd_ndarray( N, \*X, strideX, offsetX )
 
-Computes the arithmetic mean of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
+Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
index 36688371ce7b..52d5407df264 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
@@ -36,7 +36,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmeanwd( N, X, strideX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmeanwd)( N, X, strideX ), v );
 	return v;
 }
 
@@ -53,7 +53,7 @@ static napi_value addon_method( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmeanwd_ndarray( N, X, strideX, offsetX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmeanwd_ndarray )( N, X, strideX, offsetX ), v );
 	return v;
 }
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
index afb98a06b21f..37aba94b00ef 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2020 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.

From 85db286fc159e0aae0e07700b11824bcd3290380 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 18 Jan 2025 22:14:48 +0530
Subject: [PATCH 8/9] chore: minor clean up

---
 lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json | 3 ++-
 lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c   | 6 +++---
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
index 7a0fdb1d890b..8201d54893a3 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
@@ -44,7 +44,8 @@
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
         "@stdlib/napi/argv-strided-float32array",
-        "@stdlib/napi/create-double"
+        "@stdlib/napi/create-double",
+        "@stdlib/blas/base/shared"
       ]
     },
     {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
index 52d5407df264..c36eb5b7ea34 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c
@@ -22,7 +22,7 @@
 #include "stdlib/napi/argv_int64.h"
 #include "stdlib/napi/argv_strided_float32array.h"
 #include "stdlib/napi/create_double.h"
-#include <node_api.h>
+#include "stdlib/blas/base/shared.h"
 
 /**
 * Receives JavaScript callback invocation data.
@@ -36,7 +36,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmeanwd)( N, X, strideX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dsmeanwd)( N, X, strideX ), v );
 	return v;
 }
 
@@ -53,7 +53,7 @@ static napi_value addon_method( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmeanwd_ndarray )( N, X, strideX, offsetX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dsmeanwd_ndarray)( N, X, strideX, offsetX ), v );
 	return v;
 }
 

From 2c4dbad953cb85476d510d868e64c372b5416fc3 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 18 Jan 2025 22:15:13 +0530
Subject: [PATCH 9/9] chore: update manifest

---
 lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
index 8201d54893a3..7a0fdb1d890b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanwd/manifest.json
@@ -44,8 +44,7 @@
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
         "@stdlib/napi/argv-strided-float32array",
-        "@stdlib/napi/create-double",
-        "@stdlib/blas/base/shared"
+        "@stdlib/napi/create-double"
       ]
     },
     {