From 3ca878a20bf66db0055346fd482b89d40961e974 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Thu, 26 Dec 2024 14:20:59 +0530
Subject: [PATCH 1/9] feat: ndarray-dnanmeanwd

---
 .../stats/base/dnanmeanwd/include.gypi        |   2 +-
 .../include/stdlib/stats/base/dnanmeanwd.h    |   9 +-
 .../stats/base/dnanmeanwd/lib/dnanmeanwd.js   |  42 ++-----
 .../base/dnanmeanwd/lib/dnanmeanwd.native.js  |   8 +-
 .../stats/base/dnanmeanwd/lib/index.js        |   6 +-
 .../stats/base/dnanmeanwd/lib/ndarray.js      |  18 ++-
 .../base/dnanmeanwd/lib/ndarray.native.js     |  20 +--
 .../stats/base/dnanmeanwd/manifest.json       |  69 ++++++++++-
 .../@stdlib/stats/base/dnanmeanwd/src/addon.c |  59 +++++++++
 .../stats/base/dnanmeanwd/src/addon.cpp       | 117 ------------------
 .../dnanmeanwd/src/{dnanmeanwd.c => mian.c}   |  34 +++--
 .../base/dnanmeanwd/test/test.dnanmeanwd.js   |  13 +-
 .../dnanmeanwd/test/test.dnanmeanwd.native.js |  13 +-
 .../base/dnanmeanwd/test/test.ndarray.js      |  33 +----
 .../dnanmeanwd/test/test.ndarray.native.js    |  33 +----
 15 files changed, 193 insertions(+), 283 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c
 delete mode 100644 lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.cpp
 rename lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/{dnanmeanwd.c => mian.c} (68%)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include.gypi b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include.gypi
index 868c5c12e852..26476a8c2655 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include.gypi
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/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/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
index aefd7c9a8c10..ecfdb5bcc818 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
@@ -19,7 +19,7 @@
 #ifndef STDLIB_STATS_BASE_DNANMEANWD_H
 #define STDLIB_STATS_BASE_DNANMEANWD_H
 
-#include <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 double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.
 */
-double stdlib_strided_dnanmeanwd( const int64_t N, const double *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dnanmeanwd)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics .
+*/
+double API_SUFFIX(stdlib_strided_dnanmeanwd_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
 #ifdef __cplusplus
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
index a258c5ddbb53..011c23d922b8 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
@@ -18,6 +18,10 @@
 
 'use strict';
 
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
+
+
 // MAIN //
 
 /**
@@ -43,7 +47,7 @@
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} arithmetic mean
 *
 * @example
@@ -52,41 +56,11 @@
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var N = x.length;
 *
-* var v = dnanmeanwd( N, x, 1 );
+* var v = dnanmeanwd( x.length, x, 1 );
 * // returns ~0.3333
 */
-function dnanmeanwd( N, x, stride ) {
-	var mu;
-	var ix;
-	var v;
-	var n;
-	var i;
-
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ 0 ];
-	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
-	} else {
-		ix = 0;
-	}
-	mu = 0.0;
-	n = 0;
-	for ( i = 0; i < N; i++ ) {
-		v = x[ ix ];
-		if ( v === v ) {
-			n += 1;
-			mu += ( v-mu ) / n;
-		}
-		ix += stride;
-	}
-	if ( n === 0 ) {
-		return NaN;
-	}
-	return mu;
+function dnanmeanwd( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
index 453518fe3e67..70584f0cd0ef 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
@@ -30,7 +30,7 @@ var addon = require( './../src/addon.node' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} arithmetic mean
 *
 * @example
@@ -39,11 +39,11 @@ var addon = require( './../src/addon.node' );
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var N = x.length;
 *
-* var v = dnanmeanwd( N, x, 1 );
+* var v = dnanmeanwd( x.length, x, 1 );
 * // returns ~0.3333
 */
-function dnanmeanwd( N, x, stride ) {
-	return addon( N, x, stride );
+function dnanmeanwd( N, x, strideX ) {
+	return addon( N, x, strideX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
index 9bf3e4eb75e7..0d77b310119e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
@@ -30,18 +30,16 @@
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var N = 3;
 *
-* var v = dnanmeanwd( N, x, 1 );
+* var v = dnanmeanwd( 5, x, 1 );
 * // returns ~0.3333
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmeanwd.ndarray( N, x, 2, 1 );
+* var v = dnanmeanwd.ndarray( 5, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
index 3f76936b2e87..c37bfd4800a7 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
@@ -43,21 +43,17 @@
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} arithmetic mean
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmeanwd( N, x, 2, 1 );
-* // returns 1.25
 */
-function dnanmeanwd( N, x, stride, offset ) {
+function dnanmeanwd( N, x, strideX, offsetX ) {
 	var mu;
 	var ix;
 	var v;
@@ -67,10 +63,10 @@ function dnanmeanwd( N, x, stride, offset ) {
 	if ( N <= 0 ) {
 		return NaN;
 	}
-	if ( N === 1 || stride === 0 ) {
-		return x[ offset ];
+	if ( N === 1 || strideX === 0 ) {
+		return x[ offsetX ];
 	}
-	ix = offset;
+	ix = offsetX;
 	mu = 0.0;
 	n = 0;
 	for ( i = 0; i < N; i++ ) {
@@ -79,7 +75,7 @@ function dnanmeanwd( N, x, stride, offset ) {
 			n += 1;
 			mu += ( v-mu ) / n;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	if ( n === 0 ) {
 		return NaN;
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
index 3acbd37309a2..69987ae4079c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var Float64Array = require( '@stdlib/array/float64' );
-var addon = require( './dnanmeanwd.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -31,27 +30,20 @@ var addon = require( './dnanmeanwd.native.js' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
-* @param {NonNegativeInteger} offset - starting index
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} arithmetic mean
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmeanwd( N, x, 2, 1 );
+* var v = dnanmeanwd( 5, x, 2, 1 );
 * // returns 1.25
 */
-function dnanmeanwd( N, x, stride, offset ) {
-	var view;
-	if ( stride < 0 ) {
-		offset += (N-1) * stride;
-	}
-	view = new Float64Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offset), x.length-offset ); // eslint-disable-line max-len
-	return addon( N, view, stride );
+function dnanmeanwd( N, x, strideX, offsetX ) {
+	return addon.ndarray( N, x, strideX, offsetX );
 }
 
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json
index e629924be883..99aaf0c4da72 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/manifest.json
@@ -1,5 +1,8 @@
 {
-  "options": {},
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
   "fields": [
     {
       "field": "src",
@@ -24,17 +27,73 @@
   ],
   "confs": [
     {
+      "task": "build",
+      "wasm": false,
       "src": [
-        "./src/dnanmeanwd.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/napi/export",
+        "@stdlib/napi/argv",
+        "@stdlib/napi/argv-int64",
+        "@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"
+      ]
+    },
+    {
+      "task": "examples",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
       ],
+      "libraries": [],
       "libpath": [],
-      "dependencies": []
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset"
+      ]
     }
   ]
 }
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c
new file mode 100644
index 000000000000..222f988aead4
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.c
@@ -0,0 +1,59 @@
+/**
+* @license Apache-2.0
+*
+* 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.
+* 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/dnanmeanwd.h"
+#include "stdlib/napi/export.h"
+#include "stdlib/napi/argv.h"
+#include "stdlib/napi/argv_int64.h"
+#include "stdlib/napi/argv_strided_float64array.h"
+#include "stdlib/napi/create_double.h"
+
+/**
+* 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_dnanmeanwd( N, X, strideX ), v );
+	return v;
+}
+
+/**
+* Receives JavaScript callback invocation data.
+*
+* @param env    environment under which the function is invoked
+* @param info   callback data
+* @return       Node-API value
+*/
+static napi_value addon_method( napi_env env, napi_callback_info info ) {
+	STDLIB_NAPI_ARGV( env, info, argv, argc, 4 );
+	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dnanmeanwd_ndarray( N, X, strideX, offsetX ), v );
+	return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.cpp b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/addon.cpp
deleted file mode 100644
index edfde4f3ad45..000000000000
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/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/dnanmeanwd.h"
-#include <node_api.h>
-#include <stdint.h>
-#include <stdlib.h>
-#include <stdbool.h>
-#include <assert.h>
-
-/**
-* Add-on namespace.
-*/
-namespace stdlib_stats_base_dnanmeanwd {
-
-	/**
-	* Computes the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.
-	*
-	* ## Notes
-	*
-	* -   When called from JavaScript, the function expects three arguments:
-	*
-	*     -   `N`: number of indexed elements
-	*     -   `X`: input array
-	*     -   `stride`: stride length
-	*/
-	napi_value node_dnanmeanwd( 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 Float64Array." );
-			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_float64_array ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float64Array." );
-			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_dnanmeanwd( N, (double *)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_dnanmeanwd, NULL, &fcn );
-		assert( status == napi_ok );
-		return fcn;
-	}
-
-	NAPI_MODULE( NODE_GYP_MODULE_NAME, Init )
-} // end namespace stdlib_stats_base_dnanmeanwd
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/dnanmeanwd.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/mian.c
similarity index 68%
rename from lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/dnanmeanwd.c
rename to lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/mian.c
index ba1d54d3a05f..57bf5f35f2e5 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/dnanmeanwd.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/mian.c
@@ -17,6 +17,8 @@
 */
 
 #include "stdlib/stats/base/dnanmeanwd.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
 #include <stdint.h>
 
 /**
@@ -42,24 +44,38 @@
 *
 * @param N       number of indexed elements
 * @param X       input array
-* @param stride  stride length
+* @param strideX  stride length
 * @return        output value
 */
-double stdlib_strided_dnanmeanwd( const int64_t N, const double *X, const int64_t stride ) {
-	int64_t ix;
-	int64_t i;
-	int64_t n;
+double API_SUFFIX(stdlib_strided_dnanmeanwd)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ) {
+	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+	return API_SUFFIX(stdlib_strided_dnanmeanwd_ndarray)( N, X, strideX, ox );
+}
+
+/**
+* Computes the maximum absolute 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_dnanmeanwd_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+	CBLAS_INT ix;
+	CBLAS_INT i;
+	CBLAS_INT n;
 	double mu;
 	double v;
 
 	if ( N <= 0 ) {
 		return 0.0 / 0.0; // NaN
 	}
-	if ( N == 1 || stride == 0 ) {
+	if ( N == 1 || strideX == 0 ) {
 		return X[ 0 ];
 	}
-	if ( stride < 0 ) {
-		ix = (1-N) * stride;
+	if ( strideX < 0 ) {
+		ix = (1-N) * strideX;
 	} else {
 		ix = 0;
 	}
@@ -71,7 +87,7 @@ double stdlib_strided_dnanmeanwd( const int64_t N, const double *X, const int64_
 			n += 1;
 			mu += ( v-mu ) / (double)n;
 		}
-		ix += stride;
+		ix += strideX;
 	}
 	if ( n == 0 ) {
 		return 0.0 / 0.0; // NaN;
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
index 8d3e5c441607..5d8dfac2ea9e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dnanmeanwd = require( './../lib/dnanmeanwd.js' );
@@ -90,7 +89,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -106,15 +104,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( N, x, 2 );
+	v = dnanmeanwd( 5, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -130,8 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( N, x, -2 );
+	v = dnanmeanwd( 5, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -152,7 +147,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -169,9 +163,8 @@ tape( 'the function supports view offsets', function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dnanmeanwd( N, x1, 2 );
+	v = dnanmeanwd( 5, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
index 86d88d56366d..ccad2611f919 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -181,7 +180,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -197,15 +195,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( N, x, 2 );
+	v = dnanmeanwd( 5, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
 });
 
 tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -221,8 +217,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( N, x, -2 );
+	v = dnanmeanwd( 5, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -243,7 +238,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports view offsets', opts, function test( t ) {
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float64Array([
@@ -260,9 +254,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	]);
 
 	x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-	N = floor(x1.length / 2);
 
-	v = dnanmeanwd( N, x1, 2 );
+	v = dnanmeanwd( 5, x1, 2 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
index 7dd106806e3e..e184c5d52f13 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dnanmeanwd = require( './../lib/ndarray.js' );
@@ -90,7 +89,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -106,32 +104,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( 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 Float64Array([
-		1.0,  // 4
-		2.0,
-		2.0,  // 3
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 1
-		2.0,
-		NaN   // 0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( N, x, -2, 6 );
+	v = dnanmeanwd( 5, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -150,7 +123,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -166,9 +138,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanmeanwd( N, x, 2, 1 );
+	v = dnanmeanwd( 5, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
index b6e78c8c14ab..a035cc8ecbcc 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -99,7 +98,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 });
 
 tape( 'the function supports a `stride` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -115,32 +113,7 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( 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 Float64Array([
-		1.0,  // 4
-		2.0,
-		2.0,  // 3
-		-7.0,
-		-2.0, // 2
-		3.0,
-		4.0,  // 1
-		2.0,
-		NaN   // 0
-	]);
-
-	N = floor( x.length / 2 );
-	v = dnanmeanwd( N, x, -2, 6 );
+	v = dnanmeanwd( 5, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -159,7 +132,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 });
 
 tape( 'the function supports an `offset` parameter', opts, function test( t ) {
-	var N;
 	var x;
 	var v;
 
@@ -175,9 +147,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
 		NaN,
 		NaN   // 4
 	]);
-	N = floor( x.length / 2 );
 
-	v = dnanmeanwd( N, x, 2, 1 );
+	v = dnanmeanwd( 5, x, 2, 1 );
 	t.strictEqual( v, 1.25, 'returns expected value' );
 
 	t.end();

From fddb7d1577dcacb008655d6247d9e71aba7cb1d6 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Thu, 26 Dec 2024 14:22:15 +0530
Subject: [PATCH 2/9] feat: Renaming files

---
 .../@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js         | 2 --
 .../@stdlib/stats/base/dnanmeanwd/src/{mian.c => main.c}        | 0
 2 files changed, 2 deletions(-)
 rename lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/{mian.c => main.c} (100%)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
index 69987ae4079c..bc9450cad47e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
@@ -39,8 +39,6 @@ var addon = require( './../src/addon.node' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 *
-* var v = dnanmeanwd( 5, x, 2, 1 );
-* // returns 1.25
 */
 function dnanmeanwd( N, x, strideX, offsetX ) {
 	return addon.ndarray( N, x, strideX, offsetX );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/mian.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c
similarity index 100%
rename from lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/mian.c
rename to lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c

From 27e23e1b5a75afe543cbe0d8d021db0924ce4647 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 28 Dec 2024 00:05:52 +0530
Subject: [PATCH 3/9] feat: updating files

---
 .../@stdlib/stats/base/dnanmeanwd/README.md   | 144 +++++++++++++++---
 .../base/dnanmeanwd/benchmark/benchmark.js    |  29 ++--
 .../dnanmeanwd/benchmark/benchmark.native.js  |  29 ++--
 .../dnanmeanwd/benchmark/benchmark.ndarray.js |  29 ++--
 .../benchmark/benchmark.ndarray.native.js     |  29 ++--
 .../dnanmeanwd/benchmark/c/benchmark.length.c |  51 +++++++
 .../stats/base/dnanmeanwd/docs/repl.txt       |  25 ++-
 .../base/dnanmeanwd/docs/types/index.d.ts     |  12 +-
 .../base/dnanmeanwd/examples/c/example.c      |   9 +-
 9 files changed, 261 insertions(+), 96 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index 8392e1999459..07b64db5c191 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as
 var dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
 ```
 
-#### dnanmeanwd( N, x, stride )
+#### dnanmeanwd( N, x, strideX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array `x`, using Welford's algorithm and ignoring `NaN` values.
 
@@ -59,9 +59,8 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p
 var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = dnanmeanwd( N, x, 1 );
+var v = dnanmeanwd( x.length, x, 1 );
 // returns ~0.3333
 ```
 
@@ -69,18 +68,17 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **stride**: index increment for `x`.
+-   **strideX**: index increment for `x`.
 
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
+The `N` and stride parameters determine which elements in the stride array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
 var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN ] );
-var N = floor( x.length / 2 );
 
-var v = dnanmeanwd( N, x, 2 );
+var v = dnanmeanwd( 5, x, 2 );
 // returns 1.25
 ```
 
@@ -95,13 +93,11 @@ var floor = require( '@stdlib/math/base/special/floor' );
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
-
-var v = dnanmeanwd( N, x1, 2 );
+var v = dnanmeanwd( 5, x1, 2 );
 // returns 1.25
 ```
 
-#### dnanmeanwd.ndarray( N, x, stride, offset )
+#### dnanmeanwd.ndarray( N, x, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
 
@@ -109,26 +105,23 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p
 var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
-var v = dnanmeanwd.ndarray( N, x, 1, 0 );
+var v = dnanmeanwd.ndarray( x.length, x, 1, 0 );
 // returns ~0.33333
 ```
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other element in `x` starting from the second element
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-var N = floor( x.length / 2 );
 
-var v = dnanmeanwd.ndarray( N, x, 2, 1 );
+var v = dnanmeanwd.ndarray( 5, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -180,6 +173,121 @@ 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/dnanmeanwd.h"
+```
+
+#### stdlib_strided_dnanmeanwd( N, \*X, strideX )
+
+Computes the [range][range] of a double-precision floating-point strided array `x`, ignoring `NaN` values.
+
+```c
+const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
+
+double v = stdlib_strided_dnanmeanwd( 5, x, 1 );
+// returns 0.3333
+```
+
+The function accepts the following arguments:
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dnanmeanwd( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dnanmeanwd_ndarray( N, \*X, strideX, offsetX )
+
+Computes the [range][range] of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
+
+double v = stdlib_strided_dnanmeanwd_ndarray( 5, x, 1, 0 );
+// returns 7.0
+```
+
+The function accepts the following arguments:
+-   **N**: `[in] CBLAS_INT` number of indexed elements.
+-   **X**: `[in] double*` input array.
+-   **strideX**: `[in] CBLAS_INT` stride length for `X`.
+-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dnanmeanwd_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+</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/dnanmeanwd.h"
+#include <stdio.h>
+
+int main( void ) {
+	// Create a strided array:
+	const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
+
+	// Specify the number of elements:
+	const int N = 6;
+
+	// Specify the stride length:
+	const int strideX = 2;
+
+	// Compute the arithmetic mean:
+	double v = stdlib_strided_dnanmeanwd( N, x, strideX );
+
+	// Print the result:
+	printf( "mean: %lf\n", v );
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
 * * *
 
 <section class="references">
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
index 725749785047..d620bb29ea54 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
@@ -21,16 +21,29 @@
 // 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 Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dnanmeanwd = require( './../lib/dnanmeanwd.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.
 *
@@ -39,17 +52,7 @@ var dnanmeanwd = require( './../lib/dnanmeanwd.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
index 49d5321307e9..dadc63fcaaf9 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,6 +41,18 @@ 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.
 *
@@ -48,17 +61,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
index f2e9d31a0fc1..7318fcea24c2 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
@@ -21,16 +21,29 @@
 // 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 Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dnanmeanwd = 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.
 *
@@ -39,17 +52,7 @@ var dnanmeanwd = require( './../lib/ndarray.js' );
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
index a62fc15c5406..84c3664e8075 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,6 +41,18 @@ 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.
 *
@@ -48,17 +61,7 @@ var opts = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
-	var i;
-
-	x = new Float64Array( len );
-	for ( i = 0; i < x.length; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*20.0 ) - 10.0;
-		}
-	}
+	var x = filledarrayBy( len, 'float64', rand );
 	return benchmark;
 
 	function benchmark( b ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
index 3dce6d5a6c7f..6ad2693ba03d 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
@@ -107,6 +107,7 @@ static double benchmark( int iterations, int len ) {
 	v = 0.0;
 	t = tic();
 	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
 		v = stdlib_strided_dnanmeanwd( len, x, 1 );
 		if ( v != v ) {
 			printf( "should not return NaN\n" );
@@ -120,6 +121,44 @@ static double benchmark( int iterations, int len ) {
 	return elapsed;
 }
 
+/**
+* Runs a benchmark.
+*
+* @param iterations   number of iterations
+* @param len          array length
+* @return             elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+	double elapsed;
+	double x[ len ];
+	double v;
+	double t;
+	int i;
+
+	for ( i = 0; i < len; i++ ) {
+		if ( rand_double() < 0.2 ) {
+			x[ i ] = 0.0 / 0.0; // NaN
+		} else {
+			x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+		}
+	}
+	v = 0.0;
+	t = tic();
+	for ( i = 0; i < iterations; i++ ) {
+		// cppcheck-suppress uninitvar
+		v = stdlib_strided_dnanmeanwd_ndarray( len, x, 1, 0 );
+		if ( v != v ) {
+			printf( "should not return NaN\n" );
+			break;
+		}
+	}
+	elapsed = tic() - t;
+	if ( v != v ) {
+		printf( "should not return NaN\n" );
+	}
+	return elapsed;
+}
+
 /**
 * Main execution sequence.
 */
@@ -142,6 +181,18 @@ int main( void ) {
 		for ( j = 0; j < REPEATS; j++ ) {
 			count += 1;
 			printf( "# c::%s:len=%d\n", NAME, 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 );
 			elapsed = benchmark( iter, len );
 			print_results( iter, elapsed );
 			printf( "ok %d benchmark finished\n", count );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
index 33f938b1969d..b5ed0b1d64aa 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
@@ -1,9 +1,9 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the arithmetic mean of a double-precision floating-point strided
     array, using Welford's algorithm and ignoring `NaN` values.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
+    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
@@ -21,8 +21,8 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
     Returns
     -------
@@ -36,19 +36,15 @@
     > {{alias}}( x.length, x, 1 )
     ~0.3333
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 3, x, stride )
     ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
+    > {{alias}}( 3, x1, stride )
     ~-0.3333
 
 {{alias}}.ndarray( N, x, stride, offset )
@@ -68,8 +64,8 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride Length.
 
     offset: integer
         Starting index.
@@ -88,8 +84,7 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     ~-0.3333
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts
index d674d840c966..9c5697ea52ca 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/types/index.d.ts
@@ -27,7 +27,7 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns arithmetic mean
 	*
 	* @example
@@ -38,15 +38,15 @@ interface Routine {
 	* var v = dnanmeanwd( x.length, x, 1 );
 	* // returns ~0.3333
 	*/
-	( N: number, x: Float64Array, stride: number ): number;
+	( N: number, x: Float64Array, strideX: number ): number;
 
 	/**
 	* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns arithmetic mean
 	*
 	* @example
@@ -57,7 +57,7 @@ interface Routine {
 	* var v = dnanmeanwd.ndarray( x.length, x, 1, 0 );
 	* // returns ~0.3333
 	*/
-	ndarray( N: number, x: Float64Array, stride: number, offset: number ): number;
+	ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number;
 }
 
 /**
@@ -65,7 +65,7 @@ interface Routine {
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns arithmetic mean
 *
 * @example
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c
index 03e6af11ea32..8d795c27ee78 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/examples/c/example.c
@@ -17,21 +17,20 @@
 */
 
 #include "stdlib/stats/base/dnanmeanwd.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {
 	// Create a strided array:
-	double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
+	const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
 	// Specify the number of elements:
-	int64_t N = 6;
+	const int N = 6;
 
 	// Specify the stride length:
-	int64_t stride = 2;
+	const int strideX = 2;
 
 	// Compute the arithmetic mean:
-	double v = stdlib_strided_dnanmeanwd( N, x, stride );
+	double v = stdlib_strided_dnanmeanwd( N, x, strideX );
 
 	// Print the result:
 	printf( "mean: %lf\n", v );

From 4d905ec2c9169628d1a6f0a3b5216a2f8169b554 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 28 Dec 2024 00:38:30 +0530
Subject: [PATCH 4/9] fix: lint error

---
 .../@stdlib/stats/base/dnanmeanwd/README.md   | 26 ++++++++-----------
 .../dnanmeanwd/benchmark/c/benchmark.length.c |  2 +-
 .../stats/base/dnanmeanwd/docs/repl.txt       |  9 ++++---
 3 files changed, 17 insertions(+), 20 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index 07b64db5c191..f5bbfd5c25d7 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -92,9 +92,6 @@ var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-
-var v = dnanmeanwd( 5, x1, 2 );
-// returns 1.25
 ```
 
 #### dnanmeanwd.ndarray( N, x, strideX, offsetX )
@@ -120,9 +117,6 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-
-var v = dnanmeanwd.ndarray( 5, x, 2, 1 );
-// returns 1.25
 ```
 
 </section>
@@ -211,6 +205,7 @@ double v = stdlib_strided_dnanmeanwd( 5, x, 1 );
 ```
 
 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`.
@@ -231,6 +226,7 @@ double v = stdlib_strided_dnanmeanwd_ndarray( 5, x, 1, 0 );
 ```
 
 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`.
@@ -264,19 +260,19 @@ double stdlib_strided_dnanmeanwd_ndarray( const CBLAS_INT N, const double *X, co
 
 int main( void ) {
 	// Create a strided array:
-	const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
+    const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
-	// Specify the number of elements:
-	const int N = 6;
+    // Specify the number of elements:
+    const int N = 6;
 
-	// Specify the stride length:
-	const int strideX = 2;
+    // Specify the stride length:
+    const int strideX = 2;
 
-	// Compute the arithmetic mean:
-	double v = stdlib_strided_dnanmeanwd( N, x, strideX );
+    // Compute the arithmetic mean:
+    double v = stdlib_strided_dnanmeanwd( N, x, strideX );
 
-	// Print the result:
-	printf( "mean: %lf\n", v );
+    // Print the result:
+    printf( "mean: %lf\n", v );
 }
 ```
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
index 6ad2693ba03d..2d2b844ea5d2 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
@@ -94,7 +94,7 @@ static double rand_double( void ) {
 * @param len          array length
 * @return             elapsed time in seconds
 */
-static double benchmark( int iterations, int len ) {
+static double benchmark1( int iterations, int len ) {
 	double elapsed;
 	double x[ len ];
 	double v;
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
index b5ed0b1d64aa..8e107d74b71e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
@@ -38,16 +38,17 @@
 
     // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
-    > {{alias}}( 3, x, stride )
+    > {{alias}}( 3, x, strideX )
     ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > {{alias}}( 3, x1, stride )
+    > {{alias}}( 3, x1, strideX )
     ~-0.3333
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a double-precision floating-point strided
     array, ignoring `NaN` values and using Welford's algorithm and alternative
     indexing semantics.
@@ -67,7 +68,7 @@
     strideX: integer
         Stride Length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns

From 8d4f3d6ad0b39ee5fc25d6a7aeb44d24023f5675 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 28 Dec 2024 00:46:57 +0530
Subject: [PATCH 5/9] fix: CI error

---
 lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md    | 6 +++---
 .../stats/base/dnanmeanwd/benchmark/c/benchmark.length.c    | 1 -
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index f5bbfd5c25d7..ed373e073906 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -195,7 +195,7 @@ console.log( v );
 
 #### stdlib_strided_dnanmeanwd( N, \*X, strideX )
 
-Computes the [range][range] of a double-precision floating-point strided array `x`, ignoring `NaN` values.
+Computes the [mean][mean] of a double-precision floating-point strided array `x`, ignoring `NaN` values.
 
 ```c
 const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
@@ -216,7 +216,7 @@ double stdlib_strided_dnanmeanwd( const CBLAS_INT N, const double *X, const CBLA
 
 #### stdlib_strided_dnanmeanwd_ndarray( N, \*X, strideX, offsetX )
 
-Computes the [range][range] of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+Computes the [mean][mean] of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
 
 ```c
 const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
@@ -259,7 +259,7 @@ double stdlib_strided_dnanmeanwd_ndarray( const CBLAS_INT N, const double *X, co
 #include <stdio.h>
 
 int main( void ) {
-	// Create a strided array:
+    // Create a strided array:
     const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
     // Specify the number of elements:
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
index 2d2b844ea5d2..7876ee3ceac5 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/c/benchmark.length.c
@@ -193,7 +193,6 @@ int main( void ) {
 			count += 1;
 			printf( "# c::%s:ndarray:len=%d\n", NAME, len );
 			elapsed = benchmark2( iter, len );
-			elapsed = benchmark( iter, len );
 			print_results( iter, elapsed );
 			printf( "ok %d benchmark finished\n", count );
 		}

From dce813384ed7e8553b32bfe182415b0ef3d1f1ff Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Sat, 28 Dec 2024 00:58:30 +0530
Subject: [PATCH 6/9] fix: CI error

---
 lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md     | 4 ++--
 lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index ed373e073906..0c08b7455510 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -195,7 +195,7 @@ console.log( v );
 
 #### stdlib_strided_dnanmeanwd( N, \*X, strideX )
 
-Computes the [mean][mean] of a double-precision floating-point strided array `x`, ignoring `NaN` values.
+Computes the mean value of a double-precision floating-point strided array `x`, ignoring `NaN` values.
 
 ```c
 const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
@@ -216,7 +216,7 @@ double stdlib_strided_dnanmeanwd( const CBLAS_INT N, const double *X, const CBLA
 
 #### stdlib_strided_dnanmeanwd_ndarray( N, \*X, strideX, offsetX )
 
-Computes the [mean][mean] of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+Computes the mean value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
 
 ```c
 const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
index 8e107d74b71e..2c8059c0d0aa 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
@@ -38,13 +38,13 @@
 
     // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
-    > {{alias}}( 3, x, strideX )
+    > {{alias}}( 3, x, 2 )
     ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > {{alias}}( 3, x1, strideX )
+    > {{alias}}( 3, x1, 2 )
     ~-0.3333
 
 

From 6448072011e26bf4179b979ed7940ee97b7e3a12 Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Fri, 3 Jan 2025 01:23:13 +0530
Subject: [PATCH 7/9] chore: minor clean up

---
 .../@stdlib/stats/base/dnanmeanwd/README.md   | 26 +++++++++++--------
 .../stats/base/dnanmeanwd/docs/repl.txt       | 10 +++----
 .../include/stdlib/stats/base/dnanmeanwd.h    |  2 +-
 .../stats/base/dnanmeanwd/lib/dnanmeanwd.js   |  1 -
 .../base/dnanmeanwd/lib/dnanmeanwd.native.js  |  1 -
 .../stats/base/dnanmeanwd/lib/index.js        |  5 ++--
 .../stats/base/dnanmeanwd/lib/ndarray.js      |  2 ++
 .../base/dnanmeanwd/lib/ndarray.native.js     |  2 ++
 .../@stdlib/stats/base/dnanmeanwd/src/main.c  | 18 +++++--------
 .../base/dnanmeanwd/test/test.dnanmeanwd.js   |  4 +--
 .../dnanmeanwd/test/test.dnanmeanwd.native.js |  4 +--
 .../base/dnanmeanwd/test/test.ndarray.js      | 24 ++++++++++++++++-
 .../dnanmeanwd/test/test.ndarray.native.js    | 24 ++++++++++++++++-
 13 files changed, 84 insertions(+), 39 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index 0c08b7455510..0aa7eae79bc2 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -74,11 +74,10 @@ The `N` and stride parameters determine which elements in the stride array are a
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN ] );
 
-var v = dnanmeanwd( 5, x, 2 );
+var v = dnanmeanwd( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -88,10 +87,12 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+var v = dnanmeanwd( 4, x1, 2 );
+// returns 1.25
 ```
 
 #### dnanmeanwd.ndarray( N, x, strideX, offsetX )
@@ -117,6 +118,9 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
+
+var v = dnanmeanwd( 4, x, 2, 1 );
+// returns 1.25
 ```
 
 </section>
@@ -195,13 +199,13 @@ console.log( v );
 
 #### stdlib_strided_dnanmeanwd( N, \*X, strideX )
 
-Computes the mean value of a double-precision floating-point strided array `x`, ignoring `NaN` values.
+Computes the arithmetic mean of a double-precision floating-point strided array `x`, using Welford's algorithm and ignoring `NaN` values.
 
 ```c
-const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
+const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
-double v = stdlib_strided_dnanmeanwd( 5, x, 1 );
-// returns 0.3333
+double v = stdlib_strided_dnanmeanwd( 6, x, 2 );
+// returns 1.25
 ```
 
 The function accepts the following arguments:
@@ -216,13 +220,13 @@ double stdlib_strided_dnanmeanwd( const CBLAS_INT N, const double *X, const CBLA
 
 #### stdlib_strided_dnanmeanwd_ndarray( N, \*X, strideX, offsetX )
 
-Computes the mean value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
 
 ```c
-const double x[] = { 1.0, 0.0/0.0, 3.0, -4.0 };
+const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
-double v = stdlib_strided_dnanmeanwd_ndarray( 5, x, 1, 0 );
-// returns 7.0
+double v = stdlib_strided_dnanmeanwd_ndarray( 6, x, 2, 0 );
+// returns 1.25
 ```
 
 The function accepts the following arguments:
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
index 2c8059c0d0aa..9a707a6850a8 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/docs/repl.txt
@@ -3,8 +3,8 @@
     Computes the arithmetic mean of a double-precision floating-point strided
     array, using Welford's algorithm and ignoring `NaN` values.
 
-    The `N` and stride parameters determine which elements in `x` are accessed
-    at runtime.
+    The `N` and stride parameters determine which elements in the strided array
+    are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
     array view.
@@ -22,7 +22,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     Returns
     -------
@@ -54,7 +54,7 @@
     indexing semantics.
 
     While typed array views mandate a view offset based on the underlying
-    buffer, the `offset` parameter supports indexing semantics based on a
+    buffer, the offset parameter supports indexing semantics based on a
     starting index.
 
     Parameters
@@ -66,7 +66,7 @@
         Input array.
 
     strideX: integer
-        Stride Length.
+        Stride length.
 
     offsetX: integer
         Starting index.
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
index ecfdb5bcc818..8cbe79514434 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/include/stdlib/stats/base/dnanmeanwd.h
@@ -34,7 +34,7 @@ extern "C" {
 double API_SUFFIX(stdlib_strided_dnanmeanwd)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
 
 /**
-* Computes the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics .
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
 */
 double API_SUFFIX(stdlib_strided_dnanmeanwd_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
index 011c23d922b8..918253cbd694 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
@@ -54,7 +54,6 @@ var ndarray = require( './ndarray.js' );
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
 * var v = dnanmeanwd( x.length, x, 1 );
 * // returns ~0.3333
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
index 70584f0cd0ef..758ec4ccd4f5 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.native.js
@@ -37,7 +37,6 @@ var addon = require( './../src/addon.node' );
 * var Float64Array = require( '@stdlib/array/float64' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = x.length;
 *
 * var v = dnanmeanwd( x.length, x, 1 );
 * // returns ~0.3333
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
index 0d77b310119e..9f251ed36e80 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/index.js
@@ -28,9 +28,8 @@
 * var dnanmeanwd = require( '@stdlib/stats/base/dnanmeanwd' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
-* var N = 3;
 *
-* var v = dnanmeanwd( 5, x, 1 );
+* var v = dnanmeanwd( x.length, x, 1 );
 * // returns ~0.3333
 *
 * @example
@@ -39,7 +38,7 @@
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 *
-* var v = dnanmeanwd.ndarray( 5, x, 2, 1 );
+* var v = dnanmeanwd.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
index c37bfd4800a7..4beb52be8514 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.js
@@ -52,6 +52,8 @@
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 *
+* var v = dnanmeanwd( 4, x, 2, 1 );
+* // returns 1.25
 */
 function dnanmeanwd( N, x, strideX, offsetX ) {
 	var mu;
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
index bc9450cad47e..b10036df551d 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/ndarray.native.js
@@ -39,6 +39,8 @@ var addon = require( './../src/addon.node' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 *
+* var v = dnanmeanwd( 4, x, 2, 1 );
+* // returns 1.25
 */
 function dnanmeanwd( N, x, strideX, offsetX ) {
 	return addon.ndarray( N, x, strideX, offsetX );
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c
index 57bf5f35f2e5..a0a7c9c37e73 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/src/main.c
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2020 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -42,10 +42,10 @@
 * -   Welford, B. P. 1962. "Note on a Method for Calculating Corrected Sums of Squares and Products." _Technometrics_ 4 (3). Taylor & Francis: 419–20. doi:[10.1080/00401706.1962.10490022](https://doi.org/10.1080/00401706.1962.10490022).
 * -   van Reeken, A. J. 1968. "Letters to the Editor: Dealing with Neely's Algorithms." _Communications of the ACM_ 11 (3): 149–50. doi:[10.1145/362929.362961](https://doi.org/10.1145/362929.362961).
 *
-* @param N       number of indexed elements
-* @param X       input array
+* @param N        number of indexed elements
+* @param X        input array
 * @param strideX  stride length
-* @return        output value
+* @return         output value
 */
 double API_SUFFIX(stdlib_strided_dnanmeanwd)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ) {
 	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
@@ -53,7 +53,7 @@ double API_SUFFIX(stdlib_strided_dnanmeanwd)( const CBLAS_INT N, const double *X
 }
 
 /**
-* Computes the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm and alternative indexing semantics.
 *
 * @param N        number of indexed elements
 * @param X        input array
@@ -72,13 +72,9 @@ double API_SUFFIX(stdlib_strided_dnanmeanwd_ndarray)( const CBLAS_INT N, const d
 		return 0.0 / 0.0; // NaN
 	}
 	if ( N == 1 || strideX == 0 ) {
-		return X[ 0 ];
-	}
-	if ( strideX < 0 ) {
-		ix = (1-N) * strideX;
-	} else {
-		ix = 0;
+		return X[ offsetX ];
 	}
+	ix = offsetX;
 	mu = 0.0;
 	n = 0;
 	for ( i = 0; i < N; i++ ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
index 5d8dfac2ea9e..baed8323682c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.js
@@ -104,7 +104,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmeanwd( 5, x, 2 );
+	v = dnanmeanwd( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -126,7 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	v = dnanmeanwd( 5, x, -2 );
+	v = dnanmeanwd( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
index ccad2611f919..cf5754b12d8e 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.dnanmeanwd.native.js
@@ -195,7 +195,7 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmeanwd( 5, x, 2 );
+	v = dnanmeanwd( 4, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -217,7 +217,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	v = dnanmeanwd( 5, x, -2 );
+	v = dnanmeanwd( 4, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
index e184c5d52f13..a911e86e95c7 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.js
@@ -104,7 +104,29 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmeanwd( 5, x, 2, 0 );
+	v = dnanmeanwd( 4, x, 2, 0 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array([
+		1.0,  // 4
+		2.0,
+		2.0,  // 3
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 1
+		2.0,
+		NaN   // 0
+	]);
+
+	v = dnanmeanwd( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
index a035cc8ecbcc..574982c528a2 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/test/test.ndarray.native.js
@@ -113,7 +113,29 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmeanwd( 5, x, 2, 0 );
+	v = dnanmeanwd( 4, x, 2, 0 );
+
+	t.strictEqual( v, 1.25, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
+	var x;
+	var v;
+
+	x = new Float64Array([
+		1.0,  // 4
+		2.0,
+		2.0,  // 3
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 1
+		2.0,
+		NaN   // 0
+	]);
+
+	v = dnanmeanwd( 4, x, -2, 6 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();

From 5d38ef195c7fbc1f7c575762c492fdf240b43641 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 2 Jan 2025 15:12:13 -0800
Subject: [PATCH 8/9] docs: fix example

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

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
index 0aa7eae79bc2..2ee2d1fb9649 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/README.md
@@ -119,7 +119,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
 
-var v = dnanmeanwd( 4, x, 2, 1 );
+var v = dnanmeanwd.ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 

From 329395549877646ada68d2e41765ad56d549731e Mon Sep 17 00:00:00 2001
From: Neerajpathak07 <neerajrpathak710@gmail.com>
Date: Fri, 3 Jan 2025 11:42:22 +0530
Subject: [PATCH 9/9] chore: bench clean up

---
 .../@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js        | 1 +
 .../@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js | 1 +
 .../stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js        | 1 +
 .../stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js | 1 +
 .../@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js             | 2 ++
 5 files changed, 6 insertions(+)

diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
index d620bb29ea54..5b3d7bd98e6f 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.js
@@ -35,6 +35,7 @@ var dnanmeanwd = require( './../lib/dnanmeanwd.js' );
 /**
 * Returns a random value or `NaN`.
 *
+* @private
 * @returns {number} random number or `NaN`
 */
 function rand() {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
index dadc63fcaaf9..45aaba61cc4c 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.native.js
@@ -44,6 +44,7 @@ var opts = {
 /**
 * Returns a random value or `NaN`.
 *
+* @private
 * @returns {number} random number or `NaN`
 */
 function rand() {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
index 7318fcea24c2..c22b93247335 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.js
@@ -35,6 +35,7 @@ var dnanmeanwd = require( './../lib/ndarray.js' );
 /**
 * Returns a random value or `NaN`.
 *
+* @private
 * @returns {number} random number or `NaN`
 */
 function rand() {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
index 84c3664e8075..77bdfc9108e7 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/benchmark/benchmark.ndarray.native.js
@@ -44,6 +44,7 @@ var opts = {
 /**
 * Returns a random value or `NaN`.
 *
+* @private
 * @returns {number} random number or `NaN`
 */
 function rand() {
diff --git a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
index 918253cbd694..26f73054c35b 100644
--- a/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
+++ b/lib/node_modules/@stdlib/stats/base/dnanmeanwd/lib/dnanmeanwd.js
@@ -18,6 +18,8 @@
 
 'use strict';
 
+// MODULES //
+
 var stride2offset = require( '@stdlib/strided/base/stride2offset' );
 var ndarray = require( './ndarray.js' );