From d93d46f897250e8e3f2baaf1b086a01db58f4087 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 28 Dec 2024 01:56:38 +0530
Subject: [PATCH 01/19] feat: ndarray-dsmean

---
 .../@stdlib/stats/base/dsmean/README.md       | 129 +++++++++++++++---
 .../stats/base/dsmean/benchmark/benchmark.js  |  25 ++--
 .../base/dsmean/benchmark/benchmark.native.js |  25 ++--
 .../dsmean/benchmark/benchmark.ndarray.js     |  25 ++--
 .../benchmark/benchmark.ndarray.native.js     |  25 ++--
 .../dsmean/benchmark/c/benchmark.length.c     |  54 +++++++-
 .../@stdlib/stats/base/dsmean/docs/repl.txt   |  39 +++---
 .../stats/base/dsmean/docs/types/index.d.ts   |  14 +-
 .../stats/base/dsmean/examples/c/example.c    |   7 +-
 .../@stdlib/stats/base/dsmean/include.gypi    |   2 +-
 .../dsmean/include/stdlib/stats/base/dsmean.h |   9 +-
 .../@stdlib/stats/base/dsmean/lib/dsmean.js   |  12 +-
 .../stats/base/dsmean/lib/dsmean.native.js    |   9 +-
 .../@stdlib/stats/base/dsmean/lib/index.js    |   6 +-
 .../@stdlib/stats/base/dsmean/lib/ndarray.js  |  13 +-
 .../stats/base/dsmean/lib/ndarray.native.js   |  21 +--
 .../@stdlib/stats/base/dsmean/manifest.json   |  77 ++++++++++-
 .../@stdlib/stats/base/dsmean/src/addon.c     |  60 ++++++++
 .../@stdlib/stats/base/dsmean/src/addon.cpp   | 117 ----------------
 .../base/dsmean/src/{dsmean.c => main.c}      |  21 ++-
 .../stats/base/dsmean/test/test.dsmean.js     |  86 ------------
 .../base/dsmean/test/test.dsmean.native.js    |  86 ------------
 .../stats/base/dsmean/test/test.ndarray.js    |  82 -----------
 .../base/dsmean/test/test.ndarray.native.js   |  82 -----------
 24 files changed, 434 insertions(+), 592 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
 delete mode 100644 lib/node_modules/@stdlib/stats/base/dsmean/src/addon.cpp
 rename lib/node_modules/@stdlib/stats/base/dsmean/src/{dsmean.c => main.c} (53%)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 8343c4b95c04..175c0593afa3 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -59,10 +59,9 @@ 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 = dsmean( N, x, 1 );
-// returns ~0.3333
+var v = dsmean( x.length, x, 1 );
+// returns ~1.25
 ```
 
 The function has the following parameters:
@@ -78,9 +77,8 @@ 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 = dsmean( N, x, 2 );
+var v = dsmean( x.length, x, 2 );
 // returns 1.25
 ```
 
@@ -90,18 +88,15 @@ 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 = dsmean( N, x1, 2 );
+var v = dsmean( 5, x1, 2 );
 // returns 1.25
 ```
 
-#### dsmean.ndarray( N, x, stride, offset )
+#### dsmean.ndarray( N, x, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using extended accumulation and alternative indexing semantics and returning an extended precision result.
 
@@ -109,26 +104,23 @@ 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 = dsmean.ndarray( N, x, 1, 0 );
-// returns ~0.33333
+var v = dsmean.ndarray( 5, x, 1, 0 );
+// returns ~1.25
 ```
 
 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
 
 ```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 = dsmean.ndarray( N, x, 2, 1 );
+var v = dsmean.ndarray( 5, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -141,7 +133,7 @@ var v = dsmean.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 +168,107 @@ console.log( v );
 
 <!-- /.examples -->
 
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dnanmax.h"
+```
+
+#### stdlib_strided_dsmean( N, \*X, strideX )
+
+Calculate the Arithmetic Mean value of a double-precision floating-point strided array, ignoring `NaN` values.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
+
+double v = stdlib_strided_dsmean( 5, 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_dsmean( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dsmean_ndarray( N, \*X, strideX, offsetX )
+
+Computes the Arithmetic Mean value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
+
+double v = stdlib_strided_dsmean_ndarray( 5, 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_dsmean_ndarray( const CBLAS_INT N, const double *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/dsmean.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 };
+
+    // Specify the number of elements:
+    const int N = 4;
+
+    // Specify the stride length:
+    const int stride = 2;
+
+    // Compute the arithmetic mean:
+    double v = stdlib_strided_dsmean( N, x, strideX );
+
+    // Print the result:
+    printf( "mean: %lf\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
index d6fafc4d18e6..86dd34037cc6 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
@@ -21,16 +21,29 @@
 // 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 Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/dsmean.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.2 ) ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -39,13 +52,7 @@ var dsmean = require( './../lib/dsmean.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 = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
index 564e7e9d69b0..20fff494fe8f 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,6 +41,18 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.2 ) ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -48,13 +61,7 @@ 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 = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
index 864d4bb303d5..92faeee13cf6 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
@@ -21,16 +21,29 @@
 // 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 Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/ndarray.js' );
 
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.2 ) ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -39,13 +52,7 @@ var dsmean = 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 = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
index eaadfaecca45..72abe30991b8 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,6 +41,18 @@ var opts = {
 
 // FUNCTIONS //
 
+/**
+* Returns a random value or `NaN`.
+*
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.2 ) ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -48,13 +61,7 @@ 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 = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/c/benchmark.length.c
index 701e0884559b..08963526ff99 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/c/benchmark.length.c
@@ -94,7 +94,7 @@ 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;
@@ -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_dsmean( 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_dsmean_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/dsmean/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
index 919f63e2110d..6513c1add27e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 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
     -------
@@ -33,24 +33,20 @@
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
     > {{alias}}( x.length, x, 1 )
-    ~0.3333
+    ~1.25
 
-    // 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}}( 3, x, 2 )
+    ~1.25
 
     // 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}}( 3, x1, 2 )
+    ~-1.25
 
-{{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 extended accumulation and alternative indexing semantics and
     returning an extended precision result.
@@ -67,10 +63,10 @@
     x: Float32Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -83,13 +79,12 @@
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
     > {{alias}}.ndarray( x.length, x, 1, 0 )
-    ~0.3333
+    ~1.25
 
     // 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( 3, x, 2, 1 )
+    ~-1.25
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dsmean/docs/types/index.d.ts
index c1552425f80f..06f4740a3528 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 = dsmean( 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 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 = dsmean.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
@@ -82,7 +82,7 @@ interface Routine {
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
 *
 * var v = dsmean.ndarray( x.length, x, 1, 0 );
-* // returns ~0.3333
+* // returns ~1.25
 */
 declare var dsmean: Routine;
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c
index 687837b1cd46..d41ca873d891 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c
@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dsmean.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {
@@ -25,13 +24,13 @@ int main( void ) {
 	float x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
 
 	// Specify the number of elements:
-	int64_t N = 4;
+	const int N = 4;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int stride = 2;
 
 	// Compute the arithmetic mean:
-	double v = stdlib_strided_dsmean( N, x, stride );
+	double v = stdlib_strided_dsmean( N, x, strideX );
 
 	// Print the result:
 	printf( "mean: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/include.gypi b/lib/node_modules/@stdlib/stats/base/dsmean/include.gypi
index 868c5c12e852..26476a8c2655 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/include.gypi
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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/dsmean/include/stdlib/stats/base/dsmean.h b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
index 8d5a854adc50..a114cd1cf026 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
@@ -19,7 +19,7 @@
 #ifndef STDLIB_STATS_BASE_DSMEAN_H
 #define STDLIB_STATS_BASE_DSMEAN_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 +31,12 @@ extern "C" {
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
 */
-double stdlib_strided_dsmean( const int64_t N, const float *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the mean absolute value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics .
+*/
+double API_SUFFIX(stdlib_strided_dsmean_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/dsmean/lib/dsmean.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.js
index 10ef17e4a633..d6a3ad0877e4 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.js
@@ -20,7 +20,8 @@
 
 // MODULES //
 
-var dsmeanpn = require( '@stdlib/stats/base/dsmeanpn' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
@@ -30,20 +31,19 @@ var dsmeanpn = require( '@stdlib/stats/base/dsmeanpn' );
 *
 * @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 = dsmean( N, x, 1 );
+* var v = dsmean( x.length, x, 1 );
 * // returns ~0.3333
 */
-function dsmean( N, x, stride ) {
-	return dsmeanpn( N, x, stride );
+function dsmean( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.native.js
index 23bf63278831..71771af0c579 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.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 = dsmean( N, x, 1 );
+* var v = dsmean( s.length, x, 1 );
 * // returns ~0.3333
 */
-function dsmean( N, x, stride ) {
-	return addon( N, x, stride );
+function dsmean( N, x, strideX ) {
+	return addon( N, x, strideX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/lib/index.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/index.js
index 09e499b464fc..13758d296e78 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/index.js
@@ -28,9 +28,8 @@
 * var dsmean = require( '@stdlib/stats/base/dsmean' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = dsmean( N, x, 1 );
+* var v = dsmean( x.length, x, 1 );
 * // returns ~0.3333
 *
 * @example
@@ -39,9 +38,8 @@
 * var dsmean = require( '@stdlib/stats/base/dsmean' );
 *
 * 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 = dsmean.ndarray( N, x, 2, 1 );
+* var v = dsmean.ndarray( 5, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
index 0200b04b3d69..d950add0ed5e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
@@ -30,22 +30,17 @@ var dsmeanpn = require( '@stdlib/stats/base/dsmeanpn' ).ndarray;
 *
 * @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 = dsmean( N, x, 2, 1 );
-* // returns 1.25
 */
-function dsmean( N, x, stride, offset ) {
-	return dsmeanpn( N, x, stride, offset );
+function dsmean( N, x, strideX, offsetX ) {
+	return dsmeanpn( N, x, strideX, offsetX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js
index 7b77a081e308..581a53a0a91b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js
@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var Float32Array = require( '@stdlib/array/float32' );
-var addon = require( './dsmean.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -31,27 +30,17 @@ var addon = require( './dsmean.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 = dsmean( N, x, 2, 1 );
-* // returns 1.25
 */
-function dsmean( 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 dsmean( N, x, strideX, offsetX ) {
+	return addon.ndarray( N, x, strideX, offsetX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
index 6c5ebd590427..41a025c6aaa2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
@@ -1,5 +1,8 @@
 {
-  "options": {},
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
   "fields": [
     {
       "field": "src",
@@ -24,17 +27,83 @@
   ],
   "confs": [
     {
+      "task": "build",
+      "wasm": false,
       "src": [
-        "./src/dsmean.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/stats/base/dsmeanpn",
+        "@stdlib/napi/export",
+        "@stdlib/napi/argv",
+        "@stdlib/napi/argv-int64",
+        "@stdlib/napi/argv-strided-float64array",
+        "@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",
+        "@stdlib/stats/base/dsmeanpn"
+      ]
+    },
+    {
+      "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",
+        "@stdlib/stats/base/dsmeanpn"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "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",
         "@stdlib/stats/base/dsmeanpn"
       ]
     }
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
new file mode 100644
index 000000000000..e845f555f3f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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/dsmean.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 <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_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmean( 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_dsmean_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/dsmean/src/addon.cpp b/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.cpp
deleted file mode 100644
index ef7724d20424..000000000000
--- a/lib/node_modules/@stdlib/stats/base/dsmean/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/dsmean.h"
-#include <node_api.h>
-#include <stdint.h>
-#include <stdlib.h>
-#include <stdbool.h>
-#include <assert.h>
-
-/**
-* Add-on namespace.
-*/
-namespace stdlib_stats_base_dsmean {
-
-	/**
-	* Computes the arithmetic mean of a single-precision floating-point strided array using 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_dsmean( 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_dsmean( 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_dsmean, NULL, &fcn );
-		assert( status == napi_ok );
-		return fcn;
-	}
-
-	NAPI_MODULE( NODE_GYP_MODULE_NAME, Init )
-} // end namespace stdlib_stats_base_dsmean
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/dsmean.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
similarity index 53%
rename from lib/node_modules/@stdlib/stats/base/dsmean/src/dsmean.c
rename to lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
index 5c540ea8270d..36f6b69b6076 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/dsmean.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
@@ -18,7 +18,8 @@
 
 #include "stdlib/stats/base/dsmean.h"
 #include "stdlib/stats/base/dsmeanpn.h"
-#include <stdint.h>
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
 
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
@@ -28,6 +29,20 @@
 * @param stride  stride length
 * @return        output value
 */
-double stdlib_strided_dsmean( const int64_t N, const float *X, const int64_t stride ) {
-	return stdlib_strided_dsmeanpn( N, X, stride );
+double API_SUFFIX(stdlib_strided_dsmean)( 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_dsmean_ndarray)( N, X, strideX, ox );
+}
+
+/**
+* Computes the maximum value of a double-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_dsmean_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+	return stdlib_strided_dsmeanpn( N, X, strideX );
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
index 29a73338b571..15115cac672d 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.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 dsmean = require( './../lib/dsmean.js' );
@@ -85,88 +84,3 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
-
-tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = new Float32Array([
-		1.0,  // 0
-		2.0,
-		2.0,  // 1
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 3
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, 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;
-
-	x = new Float32Array([
-		1.0,  // 3
-		2.0,
-		2.0,  // 2
-		-7.0,
-		-2.0, // 1
-		3.0,
-		4.0,  // 0
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, x, -2 );
-
-	t.strictEqual( v, 1.25, 'returns expected value' );
-	t.end();
-});
-
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', function test( t ) {
-	var x;
-	var v;
-
-	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
-
-	v = dsmean( x.length, x, 0 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
-
-	t.end();
-});
-
-tape( 'the function supports view offsets', function test( t ) {
-	var x0;
-	var x1;
-	var N;
-	var v;
-
-	x0 = new Float32Array([
-		2.0,
-		1.0,  // 0
-		2.0,
-		-2.0, // 1
-		-2.0,
-		2.0,  // 2
-		3.0,
-		4.0,  // 3
-		6.0
-	]);
-
-	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
-
-	v = dsmean( N, x1, 2 );
-	t.strictEqual( v, 1.25, 'returns expected value' );
-
-	t.end();
-});
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.native.js
index fd9dfbb11975..1bef7828ca24 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.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' );
@@ -176,88 +175,3 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
-
-tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = new Float32Array([
-		1.0,  // 0
-		2.0,
-		2.0,  // 1
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 3
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, 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;
-
-	x = new Float32Array([
-		1.0,  // 3
-		2.0,
-		2.0,  // 2
-		-7.0,
-		-2.0, // 1
-		3.0,
-		4.0,  // 0
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, x, -2 );
-
-	t.strictEqual( v, 1.25, 'returns expected value' );
-	t.end();
-});
-
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', opts, function test( t ) {
-	var x;
-	var v;
-
-	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
-
-	v = dsmean( x.length, x, 0 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
-
-	t.end();
-});
-
-tape( 'the function supports view offsets', opts, function test( t ) {
-	var x0;
-	var x1;
-	var N;
-	var v;
-
-	x0 = new Float32Array([
-		2.0,
-		1.0,  // 0
-		2.0,
-		-2.0, // 1
-		-2.0,
-		2.0,  // 2
-		3.0,
-		4.0,  // 3
-		6.0
-	]);
-
-	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
-
-	v = dsmean( N, x1, 2 );
-	t.strictEqual( v, 1.25, 'returns expected value' );
-
-	t.end();
-});
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.js
index a56c857b6159..2897dbce39bd 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 dsmean = require( './../lib/ndarray.js' );
@@ -85,84 +84,3 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
-
-tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = new Float32Array([
-		1.0,  // 0
-		2.0,
-		2.0,  // 1
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 3
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, 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;
-
-	x = new Float32Array([
-		1.0,  // 3
-		2.0,
-		2.0,  // 2
-		-7.0,
-		-2.0, // 1
-		3.0,
-		4.0,  // 0
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, x, -2, 6 );
-
-	t.strictEqual( v, 1.25, 'returns expected value' );
-	t.end();
-});
-
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) {
-	var x;
-	var v;
-
-	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
-
-	v = dsmean( x.length, x, 0, 0 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
-
-	t.end();
-});
-
-tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = new Float32Array([
-		2.0,
-		1.0,  // 0
-		2.0,
-		-2.0, // 1
-		-2.0,
-		2.0,  // 2
-		3.0,
-		4.0   // 3
-	]);
-	N = floor( x.length / 2 );
-
-	v = dsmean( N, x, 2, 1 );
-	t.strictEqual( v, 1.25, 'returns expected value' );
-
-	t.end();
-});
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.native.js
index a33a98cfb3e6..48171cda6ad8 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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' );
@@ -94,84 +93,3 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
-
-tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = new Float32Array([
-		1.0,  // 0
-		2.0,
-		2.0,  // 1
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 3
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, 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;
-
-	x = new Float32Array([
-		1.0,  // 3
-		2.0,
-		2.0,  // 2
-		-7.0,
-		-2.0, // 1
-		3.0,
-		4.0,  // 0
-		2.0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dsmean( N, x, -2, 6 );
-
-	t.strictEqual( v, 1.25, 'returns expected value' );
-	t.end();
-});
-
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', opts, function test( t ) {
-	var x;
-	var v;
-
-	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
-
-	v = dsmean( x.length, x, 0, 0 );
-	t.strictEqual( v, 1.0, 'returns expected value' );
-
-	t.end();
-});
-
-tape( 'the function supports an `offset` parameter', opts, function test( t ) {
-	var N;
-	var x;
-	var v;
-
-	x = new Float32Array([
-		2.0,
-		1.0,  // 0
-		2.0,
-		-2.0, // 1
-		-2.0,
-		2.0,  // 2
-		3.0,
-		4.0   // 3
-	]);
-	N = floor( x.length / 2 );
-
-	v = dsmean( N, x, 2, 1 );
-	t.strictEqual( v, 1.25, 'returns expected value' );
-
-	t.end();
-});

From 5d54afba34805ce6a923dbd191236a8c24bee6f3 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 28 Dec 2024 11:02:07 +0530
Subject: [PATCH 02/19] fix: CI errors

---
 lib/node_modules/@stdlib/stats/base/dsmean/README.md   |  2 +-
 .../stats/base/dsmean/benchmark/c/benchmark.length.c   |  8 ++++----
 .../@stdlib/stats/base/dsmean/docs/repl.txt            | 10 +++++-----
 .../@stdlib/stats/base/dsmean/examples/c/example.c     |  4 ++--
 .../base/dsmean/include/stdlib/stats/base/dsmean.h     |  4 ++--
 .../@stdlib/stats/base/dsmean/lib/dsmean.native.js     |  2 +-
 .../@stdlib/stats/base/dsmean/manifest.json            |  2 +-
 lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c |  8 ++++----
 lib/node_modules/@stdlib/stats/base/dsmean/src/main.c  |  6 +++---
 9 files changed, 23 insertions(+), 23 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 175c0593afa3..37ba5ce88a5e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -2,7 +2,7 @@
 
 @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/dsmean/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/c/benchmark.length.c
index 08963526ff99..77a94bfe15cc 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/c/benchmark.length.c
@@ -130,16 +130,16 @@ static double benchmark1( int iterations, int len ) {
 */
 static double benchmark2( int iterations, int len ) {
 	double elapsed;
-	double x[ len ];
+	float 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
+		if ( rand_float() < 0.2f ) {
+			x[ i ] = 0.0f / 0.0f; // NaN
 		} else {
-			x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+			x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
 		}
 	}
 	v = 0.0;
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
index 6513c1add27e..4e8877fcd17c 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
@@ -33,18 +33,18 @@
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
     > {{alias}}( x.length, x, 1 )
-    ~1.25
+    ~0.333
 
     // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
     > {{alias}}( 3, x, 2 )
-    ~1.25
+    ~0.333
 
     // 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}}( 3, x1, 2 )
-    ~-1.25
+    ~-0.333
 
 {{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a single-precision floating-point strided
@@ -79,12 +79,12 @@
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
     > {{alias}}.ndarray( x.length, x, 1, 0 )
-    ~1.25
+    ~0.333
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > {{alias}}.ndarray( 3, x, 2, 1 )
-    ~-1.25
+    ~-0.333
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c
index d41ca873d891..592a994ec2bd 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/examples/c/example.c
@@ -21,13 +21,13 @@
 
 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:
 	const int N = 4;
 
 	// Specify the stride length:
-	const int stride = 2;
+	const int strideX = 2;
 
 	// Compute the arithmetic mean:
 	double v = stdlib_strided_dsmean( N, x, strideX );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
index a114cd1cf026..1feff8813d1a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
@@ -31,12 +31,12 @@ extern "C" {
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
 */
-double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 
 /**
 * Computes the mean absolute value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics .
 */
-double API_SUFFIX(stdlib_strided_dsmean_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+double API_SUFFIX(stdlib_strided_dsmean_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/dsmean/lib/dsmean.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.native.js
index 71771af0c579..0067e9bbabea 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/dsmean.native.js
@@ -38,7 +38,7 @@ var addon = require( './../src/addon.node' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
 *
-* var v = dsmean( s.length, x, 1 );
+* var v = dsmean( x.length, x, 1 );
 * // returns ~0.3333
 */
 function dsmean( N, x, strideX ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
index 41a025c6aaa2..80e8850b772b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
@@ -46,7 +46,7 @@
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
         "@stdlib/napi/argv-int64",
-        "@stdlib/napi/argv-strided-float64array",
+        "@stdlib/napi/argv-strided-float32array",
         "@stdlib/napi/create-double"
       ]
     },
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
index e845f555f3f8..d9d2ff534d19 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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.
@@ -20,7 +20,7 @@
 #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/argv_strided_float32array.h"
 #include "stdlib/napi/create_double.h"
 #include <node_api.h>
 
@@ -35,7 +35,7 @@ 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_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmean( N, X, strideX ), v );
 	return v;
 }
@@ -52,7 +52,7 @@ static napi_value addon_method( 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_INT64( env, offsetX, argv, 3 );
-	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmean_ndarray( N, X, strideX, offsetX ), v );
 	return v;
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
index 36f6b69b6076..96280db716b8 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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.
@@ -29,7 +29,7 @@
 * @param stride  stride length
 * @return        output value
 */
-double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ) {
+double API_SUFFIX(stdlib_strided_dsmean)( 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_dsmean_ndarray)( N, X, strideX, ox );
 }
@@ -43,6 +43,6 @@ double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const double *X, co
 * @param offsetX  starting index for X
 * @return         output value
 */
-double API_SUFFIX(stdlib_strided_dsmean_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+double API_SUFFIX(stdlib_strided_dsmean_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
 	return stdlib_strided_dsmeanpn( N, X, strideX );
 }

From c8e21fa007e57de8bdb89e8984370560a1220c92 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 28 Dec 2024 11:27:58 +0530
Subject: [PATCH 03/19] fix: example errors

---
 .../@stdlib/stats/base/dsmean/README.md            | 14 +-------------
 .../stats/base/dsmean/benchmark/benchmark.js       |  2 +-
 .../base/dsmean/benchmark/benchmark.native.js      |  2 +-
 .../base/dsmean/benchmark/benchmark.ndarray.js     |  2 +-
 .../dsmean/benchmark/benchmark.ndarray.native.js   |  2 +-
 .../@stdlib/stats/base/dsmean/docs/repl.txt        |  1 +
 6 files changed, 6 insertions(+), 17 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 37ba5ce88a5e..5126e199604f 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -61,7 +61,7 @@ var Float32Array = require( '@stdlib/array/float32' );
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
 
 var v = dsmean( x.length, x, 1 );
-// returns ~1.25
+// returns ~0.333
 ```
 
 The function has the following parameters:
@@ -77,9 +77,6 @@ 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 v = dsmean( x.length, x, 2 );
-// returns 1.25
 ```
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
@@ -91,9 +88,6 @@ var Float32Array = require( '@stdlib/array/float32' );
 
 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 v = dsmean( 5, x1, 2 );
-// returns 1.25
 ```
 
 #### dsmean.ndarray( N, x, strideX, offsetX )
@@ -104,9 +98,6 @@ 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 v = dsmean.ndarray( 5, x, 1, 0 );
-// returns ~1.25
 ```
 
 The function has the following additional parameters:
@@ -119,9 +110,6 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-
-var v = dsmean.ndarray( 5, x, 2, 1 );
-// returns 1.25
 ```
 
 </section>
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
index 86dd34037cc6..bad5ffd1a681 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
@@ -52,7 +52,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
index 20fff494fe8f..2b18a784c41a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
@@ -61,7 +61,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
index 92faeee13cf6..79c8de58f87d 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
@@ -52,7 +52,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
index 72abe30991b8..387ce44bf58e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
@@ -61,7 +61,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float64', rand );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
index 4e8877fcd17c..2bb1a62bb9d2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
@@ -46,6 +46,7 @@
     > {{alias}}( 3, x1, 2 )
     ~-0.333
 
+
 {{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array using extended accumulation and alternative indexing semantics and

From 43ebd35bf6100996a4f70e373d3e41df094fb26c Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sun, 29 Dec 2024 01:41:54 +0530
Subject: [PATCH 04/19] fix: bench error

---
 .../stats/base/dsmean/benchmark/benchmark.js  | 25 +++++++------------
 .../base/dsmean/benchmark/benchmark.native.js | 21 ++++------------
 .../dsmean/benchmark/benchmark.ndarray.js     | 25 +++++++------------
 .../benchmark/benchmark.ndarray.native.js     | 21 ++++------------
 .../stats/base/dsmean/examples/index.js       | 14 +++--------
 .../dsmeanpn/benchmark/benchmark.ndarray.js   | 17 ++++++-------
 6 files changed, 40 insertions(+), 83 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
index bad5ffd1a681..90e79ad9b14b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
@@ -21,28 +21,21 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/dsmean.js' );
 
 
-// FUNCTIONS //
+// VARIABLES //
 
-/**
-* Returns a random value or `NaN`.
-*
-* @returns {number} random number or `NaN`
-*/
-function rand() {
-	if ( bernoulli( 0.2 ) ) {
-		return NaN;
-	}
-	return uniform( -10.0, 10.0 );
-}
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
 
 /**
 * Creates a benchmark function.
@@ -52,7 +45,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
index 2b18a784c41a..11cd6a06ecf0 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
@@ -22,9 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -37,22 +35,13 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/dsmean.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
 
-/**
-* Returns a random value or `NaN`.
-*
-* @returns {number} random number or `NaN`
-*/
-function rand() {
-	if ( bernoulli( 0.2 ) ) {
-		return NaN;
-	}
-	return uniform( -10.0, 10.0 );
-}
-
 /**
 * Creates a benchmark function.
 *
@@ -61,7 +50,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
index 79c8de58f87d..56e033893a7a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
@@ -21,28 +21,21 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/ndarray.js' );
 
 
-// FUNCTIONS //
+// VARIABLES //
 
-/**
-* Returns a random value or `NaN`.
-*
-* @returns {number} random number or `NaN`
-*/
-function rand() {
-	if ( bernoulli( 0.2 ) ) {
-		return NaN;
-	}
-	return uniform( -10.0, 10.0 );
-}
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
 
 /**
 * Creates a benchmark function.
@@ -52,7 +45,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
index 387ce44bf58e..a85845f539da 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
@@ -22,9 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -37,22 +35,13 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
 
-/**
-* Returns a random value or `NaN`.
-*
-* @returns {number} random number or `NaN`
-*/
-function rand() {
-	if ( bernoulli( 0.2 ) ) {
-		return NaN;
-	}
-	return uniform( -10.0, 10.0 );
-}
-
 /**
 * Creates a benchmark function.
 *
@@ -61,7 +50,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js b/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js
index e77b5cd218b5..7429d8fbd828 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 dsmean = 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 = dsmean( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js
index b389eb8ff4f6..b6eb3fed88f5 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js
@@ -21,14 +21,19 @@
 // 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 dsmeanpn = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +44,7 @@ var dsmeanpn = 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 ) {

From 09fd34672c483b69323cbd29b009b8132cd0c4f7 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sun, 29 Dec 2024 01:48:26 +0530
Subject: [PATCH 05/19] fix: lint error

---
 .../@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js   | 1 +
 1 file changed, 1 insertion(+)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js
index b6eb3fed88f5..222fcc8b0c17 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmeanpn/benchmark/benchmark.ndarray.js
@@ -34,6 +34,7 @@ var options = {
 	'dtype': 'float32'
 };
 
+
 // FUNCTIONS //
 
 /**

From 6908a9fe6c44faf3454f112163b9277f475df3e1 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Tue, 31 Dec 2024 22:19:55 +0530
Subject: [PATCH 06/19] fix: updating files

---
 .../@stdlib/stats/base/dsmean/README.md       | 10 +--
 .../@stdlib/stats/base/dsmean/docs/repl.txt   |  6 +-
 .../dsmean/include/stdlib/stats/base/dsmean.h |  4 +-
 .../@stdlib/stats/base/dsmean/lib/index.js    |  2 +-
 .../@stdlib/stats/base/dsmean/lib/ndarray.js  |  3 +
 .../stats/base/dsmean/lib/ndarray.native.js   |  3 +
 .../@stdlib/stats/base/dsmean/manifest.json   | 17 +---
 .../@stdlib/stats/base/dsmean/src/main.c      |  2 +-
 .../stats/base/dsmean/test/test.dsmean.js     | 75 ++++++++++++++++++
 .../base/dsmean/test/test.dsmean.native.js    | 79 +++++++++++++++++++
 .../stats/base/dsmean/test/test.ndarray.js    | 75 ++++++++++++++++++
 .../base/dsmean/test/test.ndarray.native.js   | 75 ++++++++++++++++++
 12 files changed, 325 insertions(+), 26 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 5126e199604f..8663aefee7ed 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -104,7 +104,7 @@ The function has the following additional parameters:
 
 -   **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 Float32Array = require( '@stdlib/array/float32' );
@@ -168,12 +168,12 @@ console.log( v );
 
 #### stdlib_strided_dsmean( N, \*X, strideX )
 
-Calculate the Arithmetic Mean value of a double-precision floating-point strided array, ignoring `NaN` values.
+Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
 
 ```c
 const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
 
-double v = stdlib_strided_dsmean( 5, x, 2 );
+double v = stdlib_strided_dsmean( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -189,12 +189,12 @@ double stdlib_strided_dsmean( const CBLAS_INT N, const double *X, const CBLAS_IN
 
 #### stdlib_strided_dsmean_ndarray( N, \*X, strideX, offsetX )
 
-Computes the Arithmetic Mean value of a double-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 extended accumulation and alternative indexing semantics and returning an extended precision result.
 
 ```c
 const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
 
-double v = stdlib_strided_dsmean_ndarray( 5, x, 2, 0 );
+double v = stdlib_strided_dsmean_ndarray( 4, x, 2, 0 );
 // returns 1.25
 ```
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
index 2bb1a62bb9d2..0f95e41e2e2b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
@@ -21,7 +21,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     Returns
     -------
@@ -53,7 +53,7 @@
     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
@@ -65,7 +65,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     offsetX: integer
         Starting index.
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
index 1feff8813d1a..86a3e9c2c22c 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
@@ -29,12 +29,12 @@ extern "C" {
 #endif
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
+* Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 
 /**
-* Computes the mean absolute value of a double-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 extended accumulation and alternative indexing semantics and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmean_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/dsmean/lib/index.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/index.js
index 13758d296e78..e502f880ef2e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/index.js
@@ -39,7 +39,7 @@
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 *
-* var v = dsmean.ndarray( 5, x, 2, 1 );
+* var v = dsmean.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
index d950add0ed5e..6386a7702364 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
@@ -38,6 +38,9 @@ var dsmeanpn = require( '@stdlib/stats/base/dsmeanpn' ).ndarray;
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+*
+* var v = dsmean( N, x, 2, 1 );
+* // returns 1.25
 */
 function dsmean( N, x, strideX, offsetX ) {
 	return dsmeanpn( N, x, strideX, offsetX );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js
index 581a53a0a91b..b2a2a0b325e5 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.native.js
@@ -38,6 +38,9 @@ var addon = require( './../src/addon.node' );
 * var Float32Array = require( '@stdlib/array/float32' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+*
+* var v = dsmean( 4, x, 2, 1 );
+* // returns 1.25
 */
 function dsmean( N, x, strideX, offsetX ) {
 	return addon.ndarray( N, x, strideX, offsetX );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
index 80e8850b772b..4bb993838bae 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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/stats/base/dsmeanpn",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
@@ -63,10 +61,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-positive-zero",
-        "@stdlib/stats/base/dsmeanpn"
+        "@stdlib/strided/base/stride2offset"
       ]
     },
     {
@@ -82,10 +77,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-positive-zero",
-        "@stdlib/stats/base/dsmeanpn"
+        "@stdlib/strided/base/stride2offset"
       ]
     },
     {
@@ -101,10 +93,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/assert/is-positive-zero",
-        "@stdlib/stats/base/dsmeanpn"
+        "@stdlib/strided/base/stride2offset"
       ]
     }
   ]
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
index 96280db716b8..9d40ce1fd1f2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
@@ -35,7 +35,7 @@ double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const float *X, con
 }
 
 /**
-* Computes the maximum value of a double-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 extended accumulation and alternative indexing semantics and returning an extended precision result.
 *
 * @param N        number of indexed elements
 * @param X        input array
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
index 15115cac672d..5bc9facd17c2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
@@ -84,3 +84,78 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = dsmean( 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 x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = dsmean( 4, x, -2, 6 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+	v = dsmean( x.length, x, 0, 0 );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an `offset` parameter', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+
+	v = dsmean( 4, x, 2, 1 );
+	t.strictEqual( v, 1.25, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.native.js
index 1bef7828ca24..ec1a1c734811 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.native.js
@@ -175,3 +175,82 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
+
+tape( 'the function supports a `stride` parameter', opts, function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = dsmean( 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 x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = dsmean( 4, x, -2 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', opts, function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+	v = dsmean( x.length, x, 0 );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports view offsets', opts, function test( t ) {
+	var x0;
+	var x1;
+	var v;
+
+	x0 = new Float32Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0,  // 3
+		6.0
+	]);
+
+	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+	v = dsmean( 4, x1, 2 );
+	t.strictEqual( v, 1.25, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.js
index 2897dbce39bd..094e304a99e8 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.js
@@ -84,3 +84,78 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = dsmean( 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 x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = dsmean( 4, x, -2, 6 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+	v = dsmean( x.length, x, 0, 0 );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an `offset` parameter', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+
+	v = dsmean( 4, x, 2, 1 );
+	t.strictEqual( v, 1.25, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.native.js
index 48171cda6ad8..98d69d9b6b79 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.ndarray.native.js
@@ -93,3 +93,78 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 
 	t.end();
 });
+
+tape( 'the function supports a `stride` parameter', opts, function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = dsmean( 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 x;
+	var v;
+
+	x = new Float32Array([
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = dsmean( 4, x, -2, 6 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', opts, function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+	v = dsmean( x.length, x, 0, 0 );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an `offset` parameter', opts, function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+
+	v = dsmean( 4, x, 2, 1 );
+	t.strictEqual( v, 1.25, 'returns expected value' );
+
+	t.end();
+});

From 962a19bd9b54539a209fd731c36067a2905aefa2 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Tue, 31 Dec 2024 22:25:46 +0530
Subject: [PATCH 07/19] fix: bench error

---
 .../@stdlib/stats/base/dsmean/lib/ndarray.js             | 2 +-
 lib/node_modules/@stdlib/stats/base/dsmean/manifest.json | 9 ++++++---
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
index 6386a7702364..47151caf8708 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/lib/ndarray.js
@@ -39,7 +39,7 @@ var dsmeanpn = require( '@stdlib/stats/base/dsmeanpn' ).ndarray;
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 *
-* var v = dsmean( N, x, 2, 1 );
+* var v = dsmean( 4, x, 2, 1 );
 * // returns 1.25
 */
 function dsmean( N, x, strideX, offsetX ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json b/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
index 4bb993838bae..af6b270732d0 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/manifest.json
@@ -61,7 +61,8 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset"
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/stats/base/dsmeanpn"
       ]
     },
     {
@@ -77,7 +78,8 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset"
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/stats/base/dsmeanpn"
       ]
     },
     {
@@ -93,7 +95,8 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/blas/base/shared",
-        "@stdlib/strided/base/stride2offset"
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/stats/base/dsmeanpn"
       ]
     }
   ]

From c2f2f7500c97d584ce59bfa53472b476688f360f Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Fri, 3 Jan 2025 12:40:36 +0530
Subject: [PATCH 08/19] chore: minor clean up

---
 .../@stdlib/stats/base/dsmean/README.md       | 27 +++++++++++++------
 .../stats/base/dsmean/benchmark/benchmark.js  | 26 +++++++++++-------
 .../base/dsmean/benchmark/benchmark.native.js | 22 +++++++++++----
 .../dsmean/benchmark/benchmark.ndarray.js     | 26 +++++++++++-------
 .../benchmark/benchmark.ndarray.native.js     | 22 +++++++++++----
 .../stats/base/dsmean/examples/index.js       | 14 +++++++---
 .../@stdlib/stats/base/dsmean/src/addon.c     |  2 +-
 .../@stdlib/stats/base/dsmean/src/main.c      | 10 +++----
 8 files changed, 103 insertions(+), 46 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 8663aefee7ed..894d053d5740 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as
 var dsmean = require( '@stdlib/stats/base/dsmean' );
 ```
 
-#### dsmean( N, x, stride )
+#### dsmean( N, x, strideX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
 
@@ -68,15 +68,17 @@ 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 v = dsmean( 4, x, 2 );
+// returns 1.25
 ```
 
 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
@@ -88,6 +90,9 @@ var Float32Array = require( '@stdlib/array/float32' );
 
 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 v = dsmean( 4, x1, 2 );
+// returns 1.25
 ```
 
 #### dsmean.ndarray( N, x, strideX, offsetX )
@@ -98,6 +103,9 @@ 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 v = dsmean.ndarray( x.length, x, 1, 0 );
+// returns ~0.33333
 ```
 
 The function has the following additional parameters:
@@ -110,6 +118,9 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+
+var v = dsmean.ndarray( 4, x, 2, 1 );
+// returns 1.25
 ```
 
 </section>
@@ -171,7 +182,7 @@ console.log( v );
 Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
 
 ```c
-const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 double v = stdlib_strided_dsmean( 4, x, 2 );
 // returns 1.25
@@ -192,7 +203,7 @@ double stdlib_strided_dsmean( const CBLAS_INT N, const double *X, const CBLAS_IN
 Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and alternative indexing semantics and returning an extended precision result.
 
 ```c
-const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 0.0/0.0, 0.0/0.0 };
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 double v = stdlib_strided_dsmean_ndarray( 4, x, 2, 0 );
 // returns 1.25
@@ -233,13 +244,13 @@ double stdlib_strided_dsmean_ndarray( const CBLAS_INT N, const double *X, const
 
 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:
     const int N = 4;
 
     // Specify the stride length:
-    const int stride = 2;
+    const int strideX = 2;
 
     // Compute the arithmetic mean:
     double v = stdlib_strided_dsmean( N, x, strideX );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
index 90e79ad9b14b..28df539be0be 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
@@ -21,22 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/dsmean.js' );
 
 
-// VARIABLES //
-
-var options = {
-	'dtype': 'float32'
-};
-
-
 // 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.
 *
@@ -45,7 +53,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
index 11cd6a06ecf0..c35d664e18ce 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
@@ -22,7 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -35,13 +37,23 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/dsmean.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
-var options = {
-	'dtype': 'float32'
-};
 
 
 // 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.
 *
@@ -50,7 +62,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
index 56e033893a7a..42d402c8d751 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
@@ -21,22 +21,30 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/ndarray.js' );
 
 
-// VARIABLES //
-
-var options = {
-	'dtype': 'float32'
-};
-
-
 // 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.
 *
@@ -45,7 +53,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
index a85845f539da..033184985614 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
@@ -22,7 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -35,13 +37,23 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
-var options = {
-	'dtype': 'float32'
-};
 
 
 // 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.
 *
@@ -50,7 +62,7 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = uniform( len, -10.0, 10.0, options );
+	var x = filledarrayBy( len, 'float32', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js b/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js
index 7429d8fbd828..e77b5cd218b5 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js
@@ -18,12 +18,18 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var randu = require( '@stdlib/random/base/randu' );
+var round = require( '@stdlib/math/base/special/round' );
+var Float32Array = require( '@stdlib/array/float32' );
 var dsmean = require( './../lib' );
 
-var x = discreteUniform( 10, -50, 50, {
-	'dtype': 'float32'
-});
+var x;
+var i;
+
+x = new Float32Array( 10 );
+for ( i = 0; i < x.length; i++ ) {
+	x[ i ] = round( (randu()*100.0) - 50.0 );
+}
 console.log( x );
 
 var v = dsmean( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
index d9d2ff534d19..e22ea09ab563 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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/dsmean/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
index 9d40ce1fd1f2..303800e225cd 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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.
@@ -24,10 +24,10 @@
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
 *
-* @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 API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
 	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );

From 3590eae392826b64cf6adf3bb31f69e27b53946e Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Fri, 3 Jan 2025 13:15:08 +0530
Subject: [PATCH 09/19] chore: bench clean up

---
 .../@stdlib/stats/base/dsmean/README.md       | 16 ++++--------
 .../stats/base/dsmean/benchmark/benchmark.js  | 26 +++++++------------
 .../base/dsmean/benchmark/benchmark.native.js | 22 ++++------------
 .../dsmean/benchmark/benchmark.ndarray.js     | 26 +++++++------------
 .../benchmark/benchmark.ndarray.native.js     | 22 ++++------------
 .../stats/base/dsmean/examples/index.js       | 14 +++-------
 6 files changed, 37 insertions(+), 89 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 894d053d5740..719128a716c7 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -145,18 +145,12 @@ var v = dsmean.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 dsmean = require( '@stdlib/stats/base/dsmean' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var dsmean = 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 = dsmean( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
index 28df539be0be..90e79ad9b14b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.js
@@ -21,29 +21,21 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/dsmean.js' );
 
 
-// FUNCTIONS //
+// VARIABLES //
 
-/**
-* 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 );
-}
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
 
 /**
 * Creates a benchmark function.
@@ -53,7 +45,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
index c35d664e18ce..11cd6a06ecf0 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.native.js
@@ -22,9 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -37,23 +35,13 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/dsmean.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // 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.
 *
@@ -62,7 +50,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
index 42d402c8d751..56e033893a7a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.js
@@ -21,29 +21,21 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 pkg = require( './../package.json' ).name;
 var dsmean = require( './../lib/ndarray.js' );
 
 
-// FUNCTIONS //
+// VARIABLES //
 
-/**
-* 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 );
-}
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
 
 /**
 * Creates a benchmark function.
@@ -53,7 +45,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
index 033184985614..a85845f539da 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/benchmark/benchmark.ndarray.native.js
@@ -22,9 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 tryRequire = require( '@stdlib/utils/try-require' );
@@ -37,23 +35,13 @@ var dsmean = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
 var opts = {
 	'skip': ( dsmean instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // 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.
 *
@@ -62,7 +50,7 @@ function rand() {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x = filledarrayBy( len, 'float32', rand );
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js b/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js
index e77b5cd218b5..7429d8fbd828 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 dsmean = 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 = dsmean( x.length, x, 1 );

From 853a6f5b6eae4994fc1badf1f17ee901f9904baa Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Fri, 3 Jan 2025 14:07:05 +0530
Subject: [PATCH 10/19] fix: lint error

---
 lib/node_modules/@stdlib/stats/base/dsmean/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 719128a716c7..20e82f4c25c2 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -146,10 +146,10 @@ var v = dsmean.ndarray( 4, x, 2, 1 );
 
 ```javascript
 var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var dsmean = require( './../lib' );
+var dsmean = require( '@stdlib/stats/base/dsmean' );
 
 var x = discreteUniform( 10, -50, 50, {
-	'dtype': 'float32'
+    'dtype': 'float32'
 });
 console.log( x );
 

From 47b8bf452a707bad132b4dbbc824d7d0649d8537 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 4 Jan 2025 22:53:01 +0530
Subject: [PATCH 11/19] fix: source clean up

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

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 20e82f4c25c2..e71e7e6779cc 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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_dsmean( 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_dsmean_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/dsmean/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
index 303800e225cd..c65d2b705af0 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
@@ -44,5 +44,5 @@ double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const float *X, con
 * @return         output value
 */
 double API_SUFFIX(stdlib_strided_dsmean_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
-	return stdlib_strided_dsmeanpn( N, X, strideX );
+	return stdlib_strided_dsmeanpn_ndarray( N, X, strideX, offsetX );
 }

From e250a2ab0673b9e06ef11e0c24367120a2d4ba6b Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 18 Jan 2025 18:40:49 +0530
Subject: [PATCH 12/19] chore: minor clean up

---
 lib/node_modules/@stdlib/stats/base/dsmean/README.md   | 4 ++--
 lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c | 4 ++--
 lib/node_modules/@stdlib/stats/base/dsmean/src/main.c  | 2 +-
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index e71e7e6779cc..562e76c2da5c 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -173,7 +173,7 @@ console.log( v );
 
 #### stdlib_strided_dsmean( N, \*X, strideX )
 
-Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
+Computes the arithmetic mean of a single-precision floating-point strided array using 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_dsmean( const CBLAS_INT N, const double *X, const CBLAS_IN
 
 #### stdlib_strided_dsmean_ndarray( N, \*X, strideX, offsetX )
 
-Computes the arithmetic mean of a single-precision floating-point strided array `x` using 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 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/dsmean/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
index e22ea09ab563..99c7b646aa9b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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_dsmean( N, X, strideX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmean )( 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_dsmean_ndarray( N, X, strideX, offsetX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmean_ndarray )( N, X, strideX, offsetX ), v );
 	return v;
 }
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
index c65d2b705af0..7f361c55943f 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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 b94ae378bf72b60fcbe83009e1c40091ed6d4b30 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 18 Jan 2025 22:24:46 +0530
Subject: [PATCH 13/19] chore: update addon

---
 lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
index 99c7b646aa9b..bf0bbd574374 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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_dsmean )( N, X, strideX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dsmean)( 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_dsmean_ndarray )( N, X, strideX, offsetX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dsmean_ndarray)( N, X, strideX, offsetX ), v );
 	return v;
 }
 

From 1297c71da9c5578c9fa238246d01dd6e7ce742c9 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sun, 19 Jan 2025 12:01:22 +0530
Subject: [PATCH 14/19] chore: minor clean up

---
 .../@stdlib/stats/base/dsmean/docs/repl.txt            | 10 +++++-----
 .../base/dsmean/include/stdlib/stats/base/dsmean.h     |  4 ++--
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
index 0f95e41e2e2b..98a5cc9ace0a 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/docs/repl.txt
@@ -33,18 +33,18 @@
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
     > {{alias}}( x.length, x, 1 )
-    ~0.333
+    ~0.3333
 
     // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
     > {{alias}}( 3, x, 2 )
-    ~0.333
+    ~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}}( 3, x1, 2 )
-    ~-0.333
+    ~-0.3333
 
 
 {{alias}}.ndarray( N, x, strideX, offsetX )
@@ -80,12 +80,12 @@
     // Standard Usage:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
     > {{alias}}.ndarray( x.length, x, 1, 0 )
-    ~0.333
+    ~0.3333
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > {{alias}}.ndarray( 3, x, 2, 1 )
-    ~-0.333
+    ~-0.3333
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
index 86a3e9c2c22c..ec1509a04174 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/include/stdlib/stats/base/dsmean.h
@@ -29,12 +29,12 @@ extern "C" {
 #endif
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array `x` using extended accumulation and returning an extended precision result.
+* Computes the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmean)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 
 /**
-* Computes the arithmetic mean of a single-precision floating-point strided array `x` using 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 extended accumulation and alternative indexing semantics and returning an extended precision result.
 */
 double API_SUFFIX(stdlib_strided_dsmean_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 

From 2717e0460868d38f2821c24905ae189ad8b50410 Mon Sep 17 00:00:00 2001
From: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
Date: Sun, 19 Jan 2025 06:35:18 +0000
Subject: [PATCH 15/19] chore: update copyright years

---
 lib/node_modules/@stdlib/stats/base/dsmean/src/main.c | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c b/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
index 7f361c55943f..c65d2b705af0 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/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.

From 4b9421162f87e6a1225ee3debf98f752918dd419 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Mon, 3 Feb 2025 00:25:03 -0800
Subject: [PATCH 16/19] docs: update return annotation

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/stats/base/dsmean/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 562e76c2da5c..841758678c0e 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -61,7 +61,7 @@ var Float32Array = require( '@stdlib/array/float32' );
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
 
 var v = dsmean( x.length, x, 1 );
-// returns ~0.333
+// returns ~0.33333
 ```
 
 The function has the following parameters:

From 2ab9bc57069a6948e7c99cba370a8eca6dbb53ab Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Mon, 3 Feb 2025 15:11:08 +0530
Subject: [PATCH 17/19] chore: suggestions from code review

---
 .../@stdlib/stats/base/dsmean/README.md        |  8 ++++----
 .../stats/base/dsmean/docs/types/index.d.ts    |  2 +-
 .../stats/base/dsmean/test/test.dsmean.js      | 18 +++++++++++-------
 3 files changed, 16 insertions(+), 12 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 562e76c2da5c..13621e549775 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -185,11 +185,11 @@ double v = stdlib_strided_dsmean( 4, x, 2 );
 The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
--   **X**: `[in] double*` input array.
+-   **X**: `[in] float*` input array.
 -   **strideX**: `[in] CBLAS_INT` stride length for `X`.
 
 ```c
-double stdlib_strided_dsmean( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+double stdlib_strided_dsmean( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
 ```
 
 #### stdlib_strided_dsmean_ndarray( N, \*X, strideX, offsetX )
@@ -206,12 +206,12 @@ double v = stdlib_strided_dsmean_ndarray( 4, x, 2, 0 );
 The function accepts the following arguments:
 
 -   **N**: `[in] CBLAS_INT` number of indexed elements.
--   **X**: `[in] double*` input array.
+-   **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_dsmean_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+double stdlib_strided_dsmean_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 ```
 
 </section>
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dsmean/docs/types/index.d.ts
index 06f4740a3528..fb2445b409b9 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/docs/types/index.d.ts
@@ -82,7 +82,7 @@ interface Routine {
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
 *
 * var v = dsmean.ndarray( x.length, x, 1, 0 );
-* // returns ~1.25
+* // returns ~0.3333
 */
 declare var dsmean: Routine;
 
diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
index 5bc9facd17c2..6ddc3bbda10d 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
@@ -100,7 +100,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	]);
 
-	v = dsmean( 4, x, 2, 0 );
+	v = dsmean( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -121,7 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	v = dsmean( 4, x, -2, 6 );
+	v = dsmean( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -139,11 +139,12 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 	t.end();
 });
 
-tape( 'the function supports an `offset` parameter', function test( t ) {
-	var x;
+tape( 'the function supports view offsets', function test( t ) {
+	var x0;
+	var x1;
 	var v;
 
-	x = new Float32Array([
+	x0 = new Float32Array([
 		2.0,
 		1.0,  // 0
 		2.0,
@@ -151,10 +152,13 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		-2.0,
 		2.0,  // 2
 		3.0,
-		4.0   // 3
+		4.0,  // 3
+		6.0
 	]);
 
-	v = dsmean( 4, x, 2, 1 );
+	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+	v = dsmean( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();

From aa461138c995d82caff7b93aa68da3edf477aa7c Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 5 Feb 2025 02:22:57 -0800
Subject: [PATCH 18/19] docs: fix include path

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/stats/base/dsmean/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/README.md b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
index 8a5884aff8db..a0085f7dcf51 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/README.md
@@ -168,7 +168,7 @@ console.log( v );
 ### Usage
 
 ```c
-#include "stdlib/stats/base/dnanmax.h"
+#include "stdlib/stats/base/dsmean.h"
 ```
 
 #### stdlib_strided_dsmean( N, \*X, strideX )

From 69e52612471526862986416b5c4da631a2ad618f Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 5 Feb 2025 02:24:28 -0800
Subject: [PATCH 19/19] test: fix invocation

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
index 6ddc3bbda10d..aceb276b342b 100644
--- a/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
+++ b/lib/node_modules/@stdlib/stats/base/dsmean/test/test.dsmean.js
@@ -133,7 +133,7 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 
 	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
 
-	v = dsmean( x.length, x, 0, 0 );
+	v = dsmean( x.length, x, 0 );
 	t.strictEqual( v, 1.0, 'returns expected value' );
 
 	t.end();