From ebeed34069b87ca783d31f8cc105ed1b7bd09849 Mon Sep 17 00:00:00 2001
From: gururaj1512 <gururajgurram1512@gmail.com>
Date: Fri, 27 Jun 2025 09:37:33 +0000
Subject: [PATCH 1/4] feat: add C ndarray interface and refactor implementation
 for `stats/base/smeanlipw`

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: missing_dependencies
  - task: lint_c_examples
    status: missing_dependencies
  - task: lint_c_benchmarks
    status: missing_dependencies
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/stats/base/smeanlipw/README.md    | 164 ++++++++++++++----
 .../base/smeanlipw/benchmark/benchmark.js     |  18 +-
 .../smeanlipw/benchmark/benchmark.native.js   |  14 +-
 .../smeanlipw/benchmark/benchmark.ndarray.js  |  18 +-
 .../benchmark/benchmark.ndarray.native.js     |  14 +-
 .../smeanlipw/benchmark/c/benchmark.length.c  |  50 +++++-
 .../stats/base/smeanlipw/docs/repl.txt        |  32 ++--
 .../base/smeanlipw/docs/types/index.d.ts      |  12 +-
 .../stats/base/smeanlipw/examples/c/example.c |   9 +-
 .../stats/base/smeanlipw/examples/index.js    |  14 +-
 .../include/stdlib/stats/base/smeanlipw.h     |   9 +-
 .../@stdlib/stats/base/smeanlipw/lib/index.js |   7 +-
 .../stats/base/smeanlipw/lib/ndarray.js       |  16 +-
 .../base/smeanlipw/lib/ndarray.native.js      |  20 +--
 .../stats/base/smeanlipw/lib/smeanlipw.js     |  26 +--
 .../base/smeanlipw/lib/smeanlipw.native.js    |   9 +-
 .../stats/base/smeanlipw/manifest.json        |  45 +++--
 .../@stdlib/stats/base/smeanlipw/src/addon.c  |  26 ++-
 .../@stdlib/stats/base/smeanlipw/src/main.c   |  66 +++++++
 .../stats/base/smeanlipw/src/smeanlipw.c      |  50 ------
 .../stats/base/smeanlipw/test/test.ndarray.js |  13 +-
 .../smeanlipw/test/test.ndarray.native.js     |  13 +-
 .../base/smeanlipw/test/test.smeanlipw.js     |  13 +-
 .../smeanlipw/test/test.smeanlipw.native.js   |  13 +-
 24 files changed, 402 insertions(+), 269 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
 delete mode 100644 lib/node_modules/@stdlib/stats/base/smeanlipw/src/smeanlipw.c

diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md b/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md
index eac510155f06..58fd2c7c7695 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/README.md
@@ -51,17 +51,16 @@ The [arithmetic mean][arithmetic-mean] is defined as
 var smeanlipw = require( '@stdlib/stats/base/smeanlipw' );
 ```
 
-#### smeanlipw( N, x, stride )
+#### smeanlipw( N, x, strideX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x` using a one-pass trial mean algorithm with pairwise summation.
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
 
-var v = smeanlipw( N, x, 1 );
+var v = smeanlipw( x.length, x, 1 );
 // returns ~0.3333
 ```
 
@@ -69,18 +68,16 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
--   **stride**: index increment for `x`.
+-   **strideX**: stride length for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
 
-var v = smeanlipw( N, x, 2 );
+var v = smeanlipw( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -90,18 +87,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = smeanlipw( N, x1, 2 );
+var v = smeanlipw( 4, x1, 2 );
 // returns 1.25
 ```
 
-#### smeanlipw.ndarray( N, x, stride, offset )
+#### smeanlipw.ndarray( N, x, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation and alternative indexing semantics.
 
@@ -109,26 +103,23 @@ 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 = smeanlipw.ndarray( N, x, 1, 0 );
+var v = smeanlipw.ndarray( x.length, x, 1, 0 );
 // returns ~0.33333
 ```
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other element in `x` starting from the second element
 
 ```javascript
 var 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 = smeanlipw.ndarray( N, x, 2, 1 );
+var v = smeanlipw.ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -154,18 +145,12 @@ var v = smeanlipw.ndarray( N, x, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float32Array = require( '@stdlib/array/float32' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var smeanlipw = require( '@stdlib/stats/base/smeanlipw' );
 
-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 = smeanlipw( x.length, x, 1 );
@@ -176,6 +161,123 @@ console.log( v );
 
 <!-- /.examples -->
 
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/smeanlipw.h"
+```
+
+#### stdlib_strided_smeanlipw( N, \*X, strideX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
+
+```c
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+
+float v = stdlib_strided_smeanlipw( 4, x, 2 );
+// returns 4.0f
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] float*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+float stdlib_strided_smeanlipw( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_smeanlipw_ndarray( N, \*X, strideX, offsetX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation and alternative indexing semantics.
+
+```c
+const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+
+float v = stdlib_strided_smeanlipw_ndarray( 4, x, 2, 0 );
+// returns 4.0f
+```
+
+The function accepts the following arguments:
+
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] float*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+float stdlib_strided_smeanlipw_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/smeanlipw.h"
+#include <stdio.h>
+
+int main( void ) {
+    // Create a strided array:
+    const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+
+    // Specify the number of elements:
+    const int N = 4;
+
+    // Specify the stride length:
+    const int strideX = 2;
+
+    // Compute the arithmetic mean:
+    float v = stdlib_strided_smeanlipw( N, x, strideX );
+
+    // Print the result:
+    printf( "mean: %f\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 * * *
 
 <section class="references">
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.js
index be079b117267..a0c59a38183c 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var smeanlipw = require( './../lib/smeanlipw.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +45,7 @@ var smeanlipw = require( './../lib/smeanlipw.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.native.js
index 9883a6f5a5fa..14ef21fce2e5 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var smeanlipw = tryRequire( resolve( __dirname, './../lib/smeanlipw.native.js' )
 var opts = {
 	'skip': ( smeanlipw instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
@@ -48,13 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.js
index 65f9d7565fba..02d75b6b5650 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.js
@@ -21,14 +21,20 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var pkg = require( './../package.json' ).name;
 var smeanlipw = require( './../lib/ndarray.js' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -39,13 +45,7 @@ var smeanlipw = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.native.js
index d5a2ec226761..f1f890332fe2 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -36,6 +35,9 @@ var smeanlipw = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) )
 var opts = {
 	'skip': ( smeanlipw instanceof Error )
 };
+var options = {
+	'dtype': 'float32'
+};
 
 
 // FUNCTIONS //
@@ -48,13 +50,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float32Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		x[ i ] = ( randu()*20.0 ) - 10.0;
-	}
+	var x = uniform( len, -10.0, 10.0, options );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/c/benchmark.length.c
index e3b942857db1..a3c7438c3692 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/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 ];
 	float v;
@@ -107,6 +107,7 @@ static double benchmark( int iterations, int len ) {
 	v = 0.0f;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
 		v = stdlib_strided_smeanlipw( len, x, 1 );
 		if ( v != v ) {
 			printf( "should not return NaN\n" );
@@ -120,6 +121,40 @@ static double benchmark( int iterations, int len ) {
 	return elapsed;
 }
 
+/**
+* Runs a benchmark.
+*
+* @param iterations   number of iterations
+* @param len          array length
+* @return             elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+	double elapsed;
+	float x[ len ];
+	float v;
+	double t;
+	int i;
+
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
+	}
+	v = 0.0f;
+	t = tic();
+	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
+		v = stdlib_strided_smeanlipw_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 +177,18 @@ 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/smeanlipw/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/repl.txt
index 9c57c581d5d9..e47c833e656e 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/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 a one-pass trial mean algorithm with pairwise summation.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -19,8 +19,8 @@
     x: Float32Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -34,22 +34,19 @@
     > {{alias}}( x.length, x, 1 )
     ~0.3333
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 3, x, 2 )
     ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
+    > {{alias}}( 3, x1, 2 )
     ~-0.3333
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array using a one-pass trial mean algorithm with pairwise summation and
     alternative indexing semantics.
@@ -66,10 +63,10 @@
     x: Float32Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -86,8 +83,7 @@
 
     // 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 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     ~-0.3333
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/types/index.d.ts
index e9688eb57290..2b3ab3ac9d92 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/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 = smeanlipw( 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 a one-pass trial mean algorithm with pairwise summation and alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns arithmetic mean
 	*
 	* @example
@@ -57,7 +57,7 @@ interface Routine {
 	* var v = smeanlipw.ndarray( x.length, x, 1, 0 );
 	* // returns ~0.3333
 	*/
-	ndarray( N: number, x: Float32Array, stride: number, offset: number ): number;
+	ndarray( N: number, x: Float32Array, strideX: number, offsetX: number ): number;
 }
 
 /**
@@ -65,7 +65,7 @@ interface Routine {
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns arithmetic mean
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/smeanlipw/examples/c/example.c
index 5342d345231d..8a7483571f8c 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/examples/c/example.c
@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/stats/base/smeanlipw.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {
 	// Create a strided array:
-	float x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+	const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
 
 	// Specify the number of elements:
-	int64_t N = 4;
+	const int N = 4;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int strideX = 2;
 
 	// Compute the arithmetic mean:
-	float v = stdlib_strided_smeanlipw( N, x, stride );
+	float v = stdlib_strided_smeanlipw( N, x, strideX );
 
 	// Print the result:
 	printf( "mean: %f\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/examples/index.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/examples/index.js
index 73ce568e460c..3ecc0a0ab65d 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/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 smeanlipw = 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 = smeanlipw( x.length, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/include/stdlib/stats/base/smeanlipw.h b/lib/node_modules/@stdlib/stats/base/smeanlipw/include/stdlib/stats/base/smeanlipw.h
index f3f3a57d2ecc..5663889714bf 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/include/stdlib/stats/base/smeanlipw.h
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/include/stdlib/stats/base/smeanlipw.h
@@ -19,7 +19,7 @@
 #ifndef STDLIB_STATS_BASE_SMEANLIPW_H
 #define STDLIB_STATS_BASE_SMEANLIPW_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 a one-pass trial mean algorithm with pairwise summation.
 */
-float stdlib_strided_smeanlipw( const int64_t N, const float *X, const int64_t stride );
+float API_SUFFIX(stdlib_strided_smeanlipw)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+
+/**
+* Computes the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation and alternative indexing semantics.
+*/
+float API_SUFFIX(stdlib_strided_smeanlipw_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/smeanlipw/lib/index.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/index.js
index d28593c7ff54..d8b9b8935371 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/index.js
@@ -28,20 +28,17 @@
 * var smeanlipw = require( '@stdlib/stats/base/smeanlipw' );
 *
 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
 *
-* var v = smeanlipw( N, x, 1 );
+* var v = smeanlipw( x.length, x, 1 );
 * // returns ~0.3333
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var smeanlipw = require( '@stdlib/stats/base/smeanlipw' );
 *
 * 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 = smeanlipw.ndarray( N, x, 2, 1 );
+* var v = smeanlipw.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.js
index d2a1da7941c9..660b5ced8eb2 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.js
@@ -35,28 +35,26 @@ var sapxsumpw = require( '@stdlib/blas/ext/base/sapxsumpw' ).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 = smeanlipw( N, x, 2, 1 );
+* var v = smeanlipw( 4, x, 2, 1 );
 * // returns 1.25
 */
-function smeanlipw( N, x, stride, offset ) {
+function smeanlipw( N, x, strideX, offsetX ) {
 	if ( N <= 0 ) {
 		return NaN;
 	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ offset ];
+	if ( N === 1 || strideX === 0 ) {
+		return x[ offsetX ];
 	}
-	return float64ToFloat32( x[ offset ] + float64ToFloat32( sapxsumpw( N-1, -x[ offset ], x, stride, offset+stride ) / N ) ); // eslint-disable-line max-len
+	return float64ToFloat32( x[ offsetX ] + float64ToFloat32( sapxsumpw( N-1, -x[ offsetX ], x, strideX, offsetX+strideX ) / N ) ); // eslint-disable-line max-len
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.native.js
index f1319758e2e3..43c2758452e6 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/ndarray.native.js
@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var Float32Array = require( '@stdlib/array/float32' );
-var addon = require( './smeanlipw.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -31,27 +30,20 @@ var addon = require( './smeanlipw.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 = smeanlipw( N, x, 2, 1 );
+* var v = smeanlipw( 4, x, 2, 1 );
 * // returns 1.25
 */
-function smeanlipw( 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 smeanlipw( N, x, strideX, offsetX ) {
+	return addon.ndarray( N, x, strideX, offsetX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.js
index 4c225aedcc03..f790528f9d9d 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.js
@@ -20,8 +20,8 @@
 
 // MODULES //
 
-var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
-var sapxsumpw = require( '@stdlib/blas/ext/base/sapxsumpw' ).ndarray;
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
@@ -35,33 +35,19 @@ var sapxsumpw = require( '@stdlib/blas/ext/base/sapxsumpw' ).ndarray;
 *
 * @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 = smeanlipw( N, x, 1 );
+* var v = smeanlipw( x.length, x, 1 );
 * // returns ~0.3333
 */
-function smeanlipw( N, x, stride ) {
-	var ix;
-
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ 0 ];
-	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
-	} else {
-		ix = 0;
-	}
-	return float64ToFloat32( x[ ix ] + float64ToFloat32( sapxsumpw( N-1, -x[ ix ], x, stride, ix+stride ) / N ) ); // eslint-disable-line max-len
+function smeanlipw( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.native.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.native.js
index f027ac7196fb..0d13d3f2289a 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.native.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/lib/smeanlipw.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 = smeanlipw( N, x, 1 );
+* var v = smeanlipw( x.length, x, 1 );
 * // returns ~0.3333
 */
-function smeanlipw( N, x, stride ) {
-	return addon( N, x, stride );
+function smeanlipw( N, x, strideX ) {
+	return addon( N, x, strideX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/manifest.json b/lib/node_modules/@stdlib/stats/base/smeanlipw/manifest.json
index 036c11edbd3f..832902027e0e 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/manifest.json
@@ -1,6 +1,7 @@
 {
   "options": {
-    "task": "build"
+    "task": "build",
+    "wasm": false
   },
   "fields": [
     {
@@ -27,17 +28,18 @@
   "confs": [
     {
       "task": "build",
+      "wasm": false,
       "src": [
-        "./src/smeanlipw.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
         "@stdlib/blas/ext/base/sapxsumpw",
         "@stdlib/napi/export",
         "@stdlib/napi/argv",
@@ -48,33 +50,52 @@
     },
     {
       "task": "benchmark",
+      "wasm": false,
       "src": [
-        "./src/smeanlipw.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
-      ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
         "@stdlib/blas/ext/base/sapxsumpw"
       ]
     },
     {
       "task": "examples",
+      "wasm": false,
       "src": [
-        "./src/smeanlipw.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/blas/ext/base/sapxsumpw"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
       ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
         "@stdlib/blas/ext/base/sapxsumpw"
       ]
     }
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/addon.c b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/addon.c
index 527dace1994b..9db5495004e0 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/addon.c
@@ -17,6 +17,7 @@
 */
 
 #include "stdlib/stats/base/smeanlipw.h"
+#include "stdlib/blas/base/shared.h"
 #include "stdlib/napi/export.h"
 #include "stdlib/napi/argv.h"
 #include "stdlib/napi/argv_int64.h"
@@ -34,10 +35,27 @@
 static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV( env, info, argv, argc, 3 );
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
-	STDLIB_NAPI_ARGV_INT64( env, stride, argv, 2 );
-	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, stride, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, (double)stdlib_strided_smeanlipw( N, X, stride ), v );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_smeanlipw)( N, X, strideX ), v );
 	return v;
 }
 
-STDLIB_NAPI_MODULE_EXPORT_FCN( addon )
+/**
+* Receives JavaScript callback invocation data.
+*
+* @param env    environment under which the function is invoked
+* @param info   callback data
+* @return       Node-API value
+*/
+static napi_value addon_method( napi_env env, napi_callback_info info ) {
+	STDLIB_NAPI_ARGV( env, info, argv, argc, 4 );
+	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_smeanlipw_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/smeanlipw/src/main.c b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
new file mode 100644
index 000000000000..8c5a39984dde
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
@@ -0,0 +1,66 @@
+/**
+* @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/smeanlipw.h"
+#include "stdlib/blas/ext/base/sapxsumpw.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 a one-pass trial mean algorithm with pairwise summation.
+*
+* ## References
+*
+* -   Ling, Robert F. 1974. "Comparison of Several Algorithms for Computing Sample Means and Variances." _Journal of the American Statistical Association_ 69 (348). American Statistical Association, Taylor & Francis, Ltd.: 859–66. doi:[10.2307/2286154](https://doi.org/10.2307/2286154).
+*
+* @param N        number of indexed elements
+* @param X        input array
+* @param strideX  stride length
+* @return         output value
+*/
+float API_SUFFIX(stdlib_strided_smeanlipw)( 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_smeanlipw_ndarray)( N, X, strideX, ox );
+}
+
+/**
+* Computes the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation and alternative indexing semantics.
+*
+* ## References
+*
+* -   Ling, Robert F. 1974. "Comparison of Several Algorithms for Computing Sample Means and Variances." _Journal of the American Statistical Association_ 69 (348). American Statistical Association, Taylor & Francis, Ltd.: 859–66. doi:[10.2307/2286154](https://doi.org/10.2307/2286154).
+*
+* @param N        number of indexed elements
+* @param X        input array
+* @param strideX  stride length
+* @param offsetX  starting index
+* @return         output value
+*/
+float API_SUFFIX(stdlib_strided_smeanlipw_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+	CBLAS_INT ix;
+
+	if ( N <= 0 ) {
+		return 0.0f / 0.0f; // NaN
+	}
+	if ( N == 1 || strideX == 0 ) {
+		return X[ offsetX ];
+	}
+	ix = offsetX;
+
+	return X[ ix ] + (float)( (double)stdlib_strided_sapxsumpw_ndarray( N-1, -X[ ix ], X, strideX, offsetX+strideX ) / (double)N );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/smeanlipw.c b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/smeanlipw.c
deleted file mode 100644
index a4020710012e..000000000000
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/smeanlipw.c
+++ /dev/null
@@ -1,50 +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/smeanlipw.h"
-#include "stdlib/blas/ext/base/sapxsumpw.h"
-#include <stdint.h>
-
-/**
-* Computes the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
-*
-* ## References
-*
-* -   Ling, Robert F. 1974. "Comparison of Several Algorithms for Computing Sample Means and Variances." _Journal of the American Statistical Association_ 69 (348). American Statistical Association, Taylor & Francis, Ltd.: 859–66. doi:[10.2307/2286154](https://doi.org/10.2307/2286154).
-*
-* @param N       number of indexed elements
-* @param X       input array
-* @param stride  stride length
-* @return        output value
-*/
-float stdlib_strided_smeanlipw( const int64_t N, const float *X, const int64_t stride ) {
-	int64_t ix;
-
-	if ( N <= 0 ) {
-		return 0.0f / 0.0f; // NaN
-	}
-	if ( N == 1 || stride == 0 ) {
-		return X[ 0 ];
-	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
-	} else {
-		ix = 0;
-	}
-	return X[ ix ] + (float)( (double)stdlib_strided_sapxsumpw( N-1, -X[ ix ], X+( (stride > 0) ? stride : 0 ), stride ) / (double)N );
-}
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.ndarray.js
index cff6dbea19dc..9dc3e6ff92f6 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/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 smeanlipw = require( './../lib/ndarray.js' );
@@ -87,7 +86,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -102,15 +100,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, 2, 0 );
+	v = smeanlipw( 4, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -125,8 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, -2, 6 );
+	v = smeanlipw( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -145,7 +140,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -159,9 +153,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		3.0,
 		4.0   // 3
 	]);
-	N = floor( x.length / 2 );
 
-	v = smeanlipw( N, x, 2, 1 );
+	v = smeanlipw( 4, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.ndarray.native.js
index fdffb2ff2568..7ae7e4a95003 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.ndarray.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -96,7 +95,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -111,15 +109,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, 2, 0 );
+	v = smeanlipw( 4, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -134,8 +130,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, -2, 6 );
+	v = smeanlipw( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -154,7 +149,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -168,9 +162,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
 		3.0,
 		4.0   // 3
 	]);
-	N = floor( x.length / 2 );
 
-	v = smeanlipw( N, x, 2, 1 );
+	v = smeanlipw( 4, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.js
index 0156e983ec92..18aada8d316d 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.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 smeanlipw = require( './../lib/smeanlipw.js' );
@@ -87,7 +86,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -102,15 +100,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, 2 );
+	v = smeanlipw( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -125,8 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, -2 );
+	v = smeanlipw( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -147,7 +142,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -163,9 +157,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = smeanlipw( N, x1, 2 );
+	v = smeanlipw( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.native.js b/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.native.js
index 4a27c4f48f16..72f5c937826d 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.native.js
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/test/test.smeanlipw.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float32Array = require( '@stdlib/array/float32' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -178,7 +177,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -193,15 +191,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, 2 );
+	v = smeanlipw( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -216,8 +212,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		2.0
 	]);
 
-	N = floor( x.length / 2 );
-	v = smeanlipw( N, x, -2 );
+	v = smeanlipw( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -238,7 +233,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', opts, function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -254,9 +248,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	]);
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = smeanlipw( N, x1, 2 );
+	v = smeanlipw( 4, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();

From 0beae0d751b4d29ac499d44fd3347bb4a108e2ec Mon Sep 17 00:00:00 2001
From: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>
Date: Fri, 27 Jun 2025 09:45:28 +0000
Subject: [PATCH 2/4] chore: update copyright years

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

diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
index 8c5a39984dde..1a42ee0c0be0 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/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 25decab39bc26ed022f0550dd0183e2ee26f6908 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sat, 28 Jun 2025 18:03:52 -0700
Subject: [PATCH 3/4] docs: avoid duplicate declaration

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

diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/repl.txt
index e47c833e656e..f6cb3a04816e 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/docs/repl.txt
@@ -82,7 +82,7 @@
     ~0.3333
 
     // Using offset parameter:
-    > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
+    > x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > {{alias}}.ndarray( 3, x, 2, 1 )
     ~-0.3333
 

From 3e76f6f72b7242a4a82ff2943287504f1032dc26 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sat, 28 Jun 2025 18:06:53 -0700
Subject: [PATCH 4/4] fix: add `API_SUFFIX` wrapper

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

diff --git a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
index 1a42ee0c0be0..a61567a2547e 100644
--- a/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/smeanlipw/src/main.c
@@ -62,5 +62,5 @@ float API_SUFFIX(stdlib_strided_smeanlipw_ndarray)( const CBLAS_INT N, const flo
 	}
 	ix = offsetX;
 
-	return X[ ix ] + (float)( (double)stdlib_strided_sapxsumpw_ndarray( N-1, -X[ ix ], X, strideX, offsetX+strideX ) / (double)N );
+	return X[ ix ] + (float)( (double)API_SUFFIX(stdlib_strided_sapxsumpw_ndarray)( N-1, -X[ ix ], X, strideX, offsetX+strideX ) / (double)N );
 }