chore: minor clean up

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dsmeanwd/README.md

@@ -68,7 +68,7 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float32Array`][@stdlib/array/float32].
--   **strideX**: stride Length for `x`.
+-   **strideX**: stride length for `x`.
 
 The `N` and stride parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
@@ -173,7 +173,7 @@ console.log( v );
 
 #### stdlib_strided_dsmeanwd( N, \*X, strideX )
 
-Computes the arithmetic mean of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and returning an extended precision result.
+Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
@@ -194,7 +194,7 @@ double stdlib_strided_dsmeanwd( const CBLAS_INT N, const float *X, const CBLAS_I
 
 #### stdlib_strided_dsmeanwd_ndarray( N, \*X, strideX, offsetX )
 
-Computes the arithmetic mean of a single-precision floating-point strided array `x` using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
+Computes the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and alternative indexing semantics and returning an extended precision result.
 
 ```c
 const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };

lib/node_modules/@stdlib/stats/base/dsmeanwd/src/addon.c

@@ -36,7 +36,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmeanwd( N, X, strideX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmeanwd)( N, X, strideX ), v );
 	return v;
 }
 
@@ -53,7 +53,7 @@ static napi_value addon_method( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
 	STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
-	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dsmeanwd_ndarray( N, X, strideX, offsetX ), v );
+	STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dsmeanwd_ndarray )( N, X, strideX, offsetX ), v );
 	return v;
 }
 

lib/node_modules/@stdlib/stats/base/dsmeanwd/src/main.c

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2020 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.