diff --git a/CHANGELOG.md b/CHANGELOG.md
index b7db44d59..de006b65a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -62,10 +62,11 @@
 
 ### Contributors
 
-A total of 4 people contributed to this release. Thank you to the following contributors:
+A total of 5 people contributed to this release. Thank you to the following contributors:
 
 -   Aman Bhansali
 -   Athan Reines
+-   HarshaNP
 -   Philipp Burckhardt
 -   yaswanth
 
@@ -79,6 +80,7 @@ A total of 4 people contributed to this release. Thank you to the following cont
 
 <details>
 
+-   [`7cc8bb9`](https://github.com/stdlib-js/stdlib/commit/7cc8bb9a96147bb94fe8cfddc180a6ec535fc368) - **refactor:** update `blas/ext/base/dsnannsumors` _(by HarshaNP, Philipp Burckhardt)_
 -   [`e9f4e07`](https://github.com/stdlib-js/stdlib/commit/e9f4e0759a14b8da93d4e0837b886d8ed56bc696) - **refactor:** update `blas/ext/base/dsnansumpw` to follow current conventions _(by yaswanth, Philipp Burckhardt)_
 -   [`e0cef99`](https://github.com/stdlib-js/stdlib/commit/e0cef995e884021db3001dc1a3cfef0ca7b368c2) - **style:** remove extra spaces for regular expressions in publish script _(by Philipp Burckhardt)_
 -   [`da12183`](https://github.com/stdlib-js/stdlib/commit/da121832eca80c36e1e32929e994fef44ca8a4cc) - **feat:** add `blas/base/dspr` [(#2794)](https://github.com/stdlib-js/stdlib/pull/2794) _(by Aman Bhansali, Athan Reines)_
diff --git a/ext/base/dsnannsumors/README.md b/ext/base/dsnannsumors/README.md
index b39dad4ca..8f9ea2c37 100644
--- a/ext/base/dsnannsumors/README.md
+++ b/ext/base/dsnannsumors/README.md
@@ -59,18 +59,16 @@ The function has the following parameters:
 -   **out**: output [`Float64Array`][@stdlib/array/float64] whose first element is the sum and whose second element is the number of non-NaN elements.
 -   **strideOut**: index increment for `out`.
 
-The `N` and `stride` parameters determine which elements are accessed at runtime. For example, to compute the sum of every other element in `x`,
+The `N` and stride parameters determine which elements are accessed at runtime. For example, to compute the sum of every other element in `x`,
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 1.0, 2.0, NaN, -7.0, NaN, 3.0, 4.0, 2.0 ] );
 var out = new Float64Array( 2 );
-var N = floor( x.length / 2 );
 
-var v = dsnannsumors( N, x, 2, out, 1 );
+var v = dsnannsumors( 4, x, 2, out, 1 );
 // returns <Float64Array>[ 5.0, 2 ]
 ```
 
@@ -81,7 +79,6 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float32Array( [ 2.0, 1.0, NaN, -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
@@ -89,9 +86,7 @@ var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd
 var out0 = new Float64Array( 4 );
 var out1 = new Float64Array( out0.buffer, out0.BYTES_PER_ELEMENT*2 ); // start at 3rd element
 
-var N = floor( x0.length / 2 );
-
-var v = dsnannsumors( N, x1, 2, out1, 1 );
+var v = dsnannsumors( 4, x1, 2, out1, 1 );
 // returns <Float64Array>[ 5.0, 4 ]
 ```
 
@@ -120,13 +115,11 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float32Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var out = new Float64Array( 4 );
-var N = floor( x.length / 2 );
 
-var v = dsnannsumors.ndarray( N, x, 2, 1, out, 2, 1 );
+var v = dsnannsumors.ndarray( 4, x, 2, 1, out, 2, 1 );
 // returns <Float64Array>[ 0.0, 5.0, 0.0, 4 ]
 ```
 
@@ -152,23 +145,23 @@ var v = dsnannsumors.ndarray( N, x, 2, 1, out, 2, 1 );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dsnannsumors = require( '@stdlib/blas/ext/base/dsnannsumors' );
 
 var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-    if ( randu() < 0.2 ) {
-        x[ i ] = NaN;
-    } else {
-        x[ i ] = round( randu()*100.0 );
+
+function rand() {
+    if ( bernoulli( 0.5 ) < 0.2 ) {
+        return NaN;
     }
+    return discreteUniform( 0, 100 );
 }
+
+x = filledarrayBy( 10, 'float32', rand );
 console.log( x );
 
 var out = new Float64Array( 2 );
diff --git a/ext/base/dsnannsumors/benchmark/benchmark.js b/ext/base/dsnannsumors/benchmark/benchmark.js
index 66e26c3b1..df3574b01 100644
--- a/ext/base/dsnannsumors/benchmark/benchmark.js
+++ b/ext/base/dsnannsumors/benchmark/benchmark.js
@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dsnannsumors = require( './../lib/dsnannsumors.js' );
@@ -42,19 +43,18 @@ var dsnannsumors = require( './../lib/dsnannsumors.js' );
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float32', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.5 ) < 0.2 ) {
+			return NaN;
+		}
+		return uniform( -10.0, 10.0 );
+	}
+
 	function benchmark( b ) {
 		var i;
 
diff --git a/ext/base/dsnannsumors/benchmark/benchmark.native.js b/ext/base/dsnannsumors/benchmark/benchmark.native.js
index 2d6532f00..b4ec56aa5 100644
--- a/ext/base/dsnannsumors/benchmark/benchmark.native.js
+++ b/ext/base/dsnannsumors/benchmark/benchmark.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -51,19 +52,18 @@ var opts = {
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float32', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.5 ) < 0.2 ) {
+			return NaN;
+		}
+		return uniform( -10.0, 10.0 );
+	}
+
 	function benchmark( b ) {
 		var i;
 
diff --git a/ext/base/dsnannsumors/benchmark/benchmark.ndarray.js b/ext/base/dsnannsumors/benchmark/benchmark.ndarray.js
index e41611046..8e047a56a 100644
--- a/ext/base/dsnannsumors/benchmark/benchmark.ndarray.js
+++ b/ext/base/dsnannsumors/benchmark/benchmark.ndarray.js
@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var pkg = require( './../package.json' ).name;
 var dsnannsumors = require( './../lib/ndarray.js' );
@@ -42,19 +43,18 @@ var dsnannsumors = require( './../lib/ndarray.js' );
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float32', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.5 ) < 0.2 ) {
+			return NaN;
+		}
+		return uniform( -10.0, 10.0 );
+	}
+
 	function benchmark( b ) {
 		var i;
 
diff --git a/ext/base/dsnannsumors/benchmark/benchmark.ndarray.native.js b/ext/base/dsnannsumors/benchmark/benchmark.ndarray.native.js
index 0219e75c9..3a21eb6c2 100644
--- a/ext/base/dsnannsumors/benchmark/benchmark.ndarray.native.js
+++ b/ext/base/dsnannsumors/benchmark/benchmark.ndarray.native.js
@@ -22,10 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -51,19 +52,18 @@ var opts = {
 function createBenchmark( len ) {
 	var out;
 	var x;
-	var i;
 
-	x = new Float32Array( len );
-	for ( i = 0; i < len; i++ ) {
-		if ( randu() < 0.2 ) {
-			x[ i ] = NaN;
-		} else {
-			x[ i ] = ( randu()*10.0 ) - 20.0;
-		}
-	}
+	x = filledarrayBy( len, 'float32', rand );
 	out = new Float64Array( 2 );
 	return benchmark;
 
+	function rand() {
+		if ( bernoulli( 0.5 ) < 0.2 ) {
+			return NaN;
+		}
+		return uniform( -10.0, 10.0 );
+	}
+
 	function benchmark( b ) {
 		var i;
 
diff --git a/ext/base/dsnannsumors/docs/repl.txt b/ext/base/dsnannsumors/docs/repl.txt
index 6db756a72..46d20724a 100644
--- a/ext/base/dsnannsumors/docs/repl.txt
+++ b/ext/base/dsnannsumors/docs/repl.txt
@@ -4,7 +4,7 @@
     ignoring `NaN` values, using ordinary recursive summation with extended
     accumulation, and returning an extended precision result.
 
-    The `N` and `stride` parameters determine which elements are accessed at
+    The `N` and stride parameters determine which elements are accessed at
     runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed
@@ -43,11 +43,10 @@
     > {{alias}}( x.length, x, 1, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
-    // 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, NaN, NaN ] );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}( N, x, 2, out, 1 )
+    > {{alias}}( 4, x, 2, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
     // Using view offsets:
@@ -58,13 +57,14 @@
     > {{alias}}( N, x1, 2, out, 1 )
     <Float64Array>[ 1.0, 3 ]
 
+
 {{alias}}.ndarray( N, x, strideX, offsetX, out, strideOut, offsetOut )
     Computes the sum of single-precision floating-point strided array elements,
     ignoring `NaN` values and using ordinary recursive summation with extended
     accumulation and alternative 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
@@ -106,9 +106,8 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
     > out = new {{alias:@stdlib/array/float64}}( 2 );
-    > {{alias}}.ndarray( N, x, 2, 1, out, 1, 0 )
+    > {{alias}}.ndarray( 4, x, 2, 1, out, 1, 0 )
     <Float64Array>[ 1.0, 3 ]
 
     See Also
diff --git a/ext/base/dsnannsumors/examples/index.js b/ext/base/dsnannsumors/examples/index.js
index d3d72cfc4..ffd52440b 100644
--- a/ext/base/dsnannsumors/examples/index.js
+++ b/ext/base/dsnannsumors/examples/index.js
@@ -18,24 +18,23 @@
 
 '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/base/discrete-uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dsnannsumors = require( './../lib' );
 
 var out;
 var x;
-var i;
 
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
-	if ( randu() < 0.2 ) {
-		x[ i ] = NaN;
-	} else {
-		x[ i ] = round( randu()*100.0 );
+function rand() {
+	if ( bernoulli( 0.5 ) < 0.2 ) {
+		return NaN;
 	}
+	return discreteUniform( 0, 100 );
 }
+
+x = filledarrayBy( 10, 'float32', rand );
 console.log( x );
 
 out = new Float64Array( 2 );
diff --git a/ext/base/dsnannsumors/include.gypi b/ext/base/dsnannsumors/include.gypi
index 868c5c12e..26476a8c2 100644
--- a/ext/base/dsnannsumors/include.gypi
+++ b/ext/base/dsnannsumors/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/ext/base/dsnannsumors/lib/index.js b/ext/base/dsnannsumors/lib/index.js
index c9b7cbd57..069419889 100644
--- a/ext/base/dsnannsumors/lib/index.js
+++ b/ext/base/dsnannsumors/lib/index.js
@@ -31,21 +31,18 @@
 * var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var out = new Float64Array( 2 );
 *
-* var v = dsnannsumors( x.length, x, 1, out, 1 );
+* var v = dsnannsumors( 4, x, 1, out, 1 );
 * // returns <Float64Array>[ 1.0, 3 ]
 *
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dsnannsumors = require( '@stdlib/blas/ext/base/dsnannsumors' );
 *
 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
 * var out = new Float64Array( 2 );
 *
-* var N = floor( x.length / 2 );
-*
-* var v = dsnannsumors.ndarray( N, x, 2, 1, out, 1, 0 );
+* var v = dsnannsumors.ndarray( 5, x, 2, 1, out, 1, 0 );
 * // returns <Float64Array>[ 5.0, 4 ]
 */
 
diff --git a/ext/base/dsnannsumors/lib/ndarray.js b/ext/base/dsnannsumors/lib/ndarray.js
index 29c6deb0e..78084bb29 100644
--- a/ext/base/dsnannsumors/lib/ndarray.js
+++ b/ext/base/dsnannsumors/lib/ndarray.js
@@ -40,14 +40,11 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
 * var Float64Array = require( '@stdlib/array/float64' );
-* 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, NaN, NaN ] );
 * var out = new Float64Array( 2 );
 *
-* var N = floor( x.length / 2 );
-*
-* var v = dsnannsumors( N, x, 2, 1, out, 1, 0 );
+* var v = dsnannsumors( 5, x, 2, 1, out, 1, 0 );
 * // returns <Float64Array>[ 5.0, 4 ]
 */
 function dsnannsumors( N, x, strideX, offsetX, out, strideOut, offsetOut ) {
diff --git a/ext/base/dsnannsumors/lib/ndarray.native.js b/ext/base/dsnannsumors/lib/ndarray.native.js
index 1337a5949..8bfcc42e3 100644
--- a/ext/base/dsnannsumors/lib/ndarray.native.js
+++ b/ext/base/dsnannsumors/lib/ndarray.native.js
@@ -20,8 +20,8 @@
 
 // MODULES //
 
-var Float32Array = require( '@stdlib/array/float32' );
-var Float64Array = require( '@stdlib/array/float64' );
+var minViewBufferIndex = require( '@stdlib/strided/base/min-view-buffer-index' );
+var offsetView = require( '@stdlib/strided/base/offset-view' );
 var addon = require( './dsnannsumors.native.js' );
 
 
@@ -42,27 +42,22 @@ var addon = require( './dsnannsumors.native.js' );
 * @example
 * var Float32Array = require( '@stdlib/array/float32' );
 * var Float64Array = require( '@stdlib/array/float64' );
-* 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, NaN, NaN ] );
 * var out = new Float64Array( 2 );
 *
-* var N = floor( x.length / 2 );
-*
-* var v = dsnannsumors( N, x, 2, 1, out, 1, 0 );
+* var v = dsnannsumors( 5, x, 2, 1, out, 1, 0 );
 * // returns <Float64Array>[ 5.0, 4 ]
 */
 function dsnannsumors( N, x, strideX, offsetX, out, strideOut, offsetOut ) {
 	var viewOut;
 	var viewX;
-	if ( strideX < 0 ) {
-		offsetX += (N-1) * strideX;
-	}
-	if ( strideOut < 0 ) {
-		offsetOut += strideOut;
-	}
-	viewX = new Float32Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offsetX), x.length-offsetX ); // eslint-disable-line max-len
-	viewOut = new Float64Array( out.buffer, out.byteOffset+(out.BYTES_PER_ELEMENT*offsetOut), out.length-offsetOut ); // eslint-disable-line max-len
+	offsetX = minViewBufferIndex( N, strideX, offsetX );
+	offsetOut = minViewBufferIndex( 2, strideOut, offsetOut );
+
+	viewX = offsetView( x, offsetX );
+	viewOut = offsetView( out, offsetOut );
+
 	addon( N, viewX, strideX, viewOut, strideOut );
 	return out;
 }
diff --git a/ext/base/dsnannsumors/manifest.json b/ext/base/dsnannsumors/manifest.json
index 954cdb29d..86df423c2 100644
--- a/ext/base/dsnannsumors/manifest.json
+++ b/ext/base/dsnannsumors/manifest.json
@@ -1,42 +1,82 @@
 {
-	"options": {},
-	"fields": [
-		{
-			"field": "src",
-			"resolve": true,
-			"relative": true
-		},
-		{
-			"field": "include",
-			"resolve": true,
-			"relative": true
-		},
-		{
-			"field": "libraries",
-			"resolve": false,
-			"relative": false
-		},
-		{
-			"field": "libpath",
-			"resolve": true,
-			"relative": false
-		}
-	],
-	"confs": [
-		{
-			"src": [
-				"./src/dsnannsumors.c"
-			],
-			"include": [
-				"./include"
-			],
-			"libraries": [
-				"-lm"
-			],
-			"libpath": [],
-			"dependencies": [
-				"@stdlib/math/base/assert/is-nanf"
-			]
-		}
-	]
+  "options": {
+    "task": "build"
+  },
+  "fields": [
+    {
+      "field": "src",
+      "resolve": true,
+      "relative": true
+    },
+    {
+      "field": "include",
+      "resolve": true,
+      "relative": true
+    },
+    {
+      "field": "libraries",
+      "resolve": false,
+      "relative": false
+    },
+    {
+      "field": "libpath",
+      "resolve": true,
+      "relative": false
+    }
+  ],
+  "confs": [
+    {
+      "task": "build",
+      "src": [
+        "./src/dsnannsumors.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [
+        "-lm"
+      ],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/napi/export",
+        "@stdlib/napi/argv",
+        "@stdlib/napi/argv-int64",
+        "@stdlib/napi/argv-strided-float32array",
+        "@stdlib/napi/argv-strided-float64array",
+        "@stdlib/math/base/assert/is-nanf"
+      ]
+    },
+    {
+      "task": "benchmark",
+      "src": [
+        "./src/dsnannsumors.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [
+        "-lm"
+      ],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/assert/is-nanf"
+      ]
+    },
+    {
+      "task": "examples",
+      "src": [
+        "./src/dsnannsumors.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [
+        "-lm"
+      ],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/assert/is-nanf"
+      ]
+    }
+  ]
 }
diff --git a/ext/base/dsnannsumors/package.json b/ext/base/dsnannsumors/package.json
index 17edf28c0..e86f8808c 100644
--- a/ext/base/dsnannsumors/package.json
+++ b/ext/base/dsnannsumors/package.json
@@ -74,5 +74,7 @@
     "single",
     "float32array"
   ],
-  "__stdlib__": {}
+  "__stdlib__": {
+    "wasm": false
+  }
 }
diff --git a/ext/base/dsnannsumors/src/addon.c b/ext/base/dsnannsumors/src/addon.c
new file mode 100644
index 000000000..976788100
--- /dev/null
+++ b/ext/base/dsnannsumors/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/blas/ext/base/dsnannsumors.h"
+#include "stdlib/napi/export.h"
+#include "stdlib/napi/argv.h"
+#include "stdlib/napi/argv_int64.h"
+#include "stdlib/napi/argv_strided_float32array.h"
+#include "stdlib/napi/argv_strided_float64array.h"
+#include <node_api.h>
+#include <assert.h>
+
+/**
+* Receives JavaScript callback invocation data.
+*
+* @private
+* @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, 5 );
+	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_INT64( env, strideOut, argv, 4 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Out, 2, strideOut, argv, 3 );
+
+	int64_t io;
+	if ( strideOut < 0 ) {
+		io = -strideOut;
+	} else {
+		io = 0;
+	}
+
+	double *out = Out;
+	int64_t n;
+	out[ io ] = stdlib_strided_dsnannsumors( N, X, strideX, &n );
+	out[ io + strideOut ] = (double)n;
+
+	return NULL;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN( addon )
\ No newline at end of file
diff --git a/ext/base/dsnannsumors/src/addon.cpp b/ext/base/dsnannsumors/src/addon.cpp
deleted file mode 100644
index 870134eee..000000000
--- a/ext/base/dsnannsumors/src/addon.cpp
+++ /dev/null
@@ -1,162 +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/blas/ext/base/dsnannsumors.h"
-#include <node_api.h>
-#include <stdint.h>
-#include <stdlib.h>
-#include <stdbool.h>
-#include <assert.h>
-
-/**
-* Add-on namespace.
-*/
-namespace stdlib_blas_ext_base_dsnannsumors {
-
-	/**
-	* Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
-	*
-	* ## Notes
-	*
-	* -   When called from JavaScript, the function expects five arguments:
-	*
-	*     -   `N`: number of indexed elements
-	*     -   `X`: input array
-	*     -   `strideX`: `X` stride length
-	*     -   `Out`: output array
-	*     -   `strideOut`: `Out` stride length
-	*/
-	napi_value node_dsnannsumors( napi_env env, napi_callback_info info ) {
-		napi_status status;
-
-		size_t argc = 5;
-		napi_value argv[ 5 ];
-		status = napi_get_cb_info( env, info, &argc, argv, nullptr, nullptr );
-		assert( status == napi_ok );
-
-		if ( argc < 5 ) {
-			napi_throw_error( env, nullptr, "invalid invocation. Must provide 5 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 res1;
-		status = napi_is_typedarray( env, argv[ 1 ], &res1 );
-		assert( status == napi_ok );
-		if ( res1 == false ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float32Array." );
-			return nullptr;
-		}
-
-		napi_valuetype vtype2;
-		status = napi_typeof( env, argv[ 2 ], &vtype2 );
-		assert( status == napi_ok );
-		if ( vtype2 != napi_number ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Third argument must be a number." );
-			return nullptr;
-		}
-
-		bool res3;
-		status = napi_is_typedarray( env, argv[ 3 ], &res3 );
-		assert( status == napi_ok );
-		if ( res3 == false ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Fourth argument must be a Float64Array." );
-			return nullptr;
-		}
-
-		napi_valuetype vtype4;
-		status = napi_typeof( env, argv[ 4 ], &vtype4 );
-		assert( status == napi_ok );
-		if ( vtype4 != napi_number ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Fifth 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 strideX;
-		status = napi_get_value_int64( env, argv[ 2 ], &strideX );
-		assert( status == napi_ok );
-
-		int64_t strideOut;
-		status = napi_get_value_int64( env, argv[ 4 ], &strideOut );
-		assert( status == napi_ok );
-
-		napi_typedarray_type vtype1;
-		size_t xlen;
-		void *X;
-		status = napi_get_typedarray_info( env, argv[ 1 ], &vtype1, &xlen, &X, nullptr, nullptr );
-		assert( status == napi_ok );
-		if ( vtype1 != napi_float32_array ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float32Array." );
-			return nullptr;
-		}
-		if ( (N-1)*llabs(strideX) >= (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_typedarray_type vtype3;
-		size_t olen;
-		void *Out;
-		status = napi_get_typedarray_info( env, argv[ 3 ], &vtype3, &olen, &Out, nullptr, nullptr );
-		assert( status == napi_ok );
-		if ( vtype3 != napi_float64_array ) {
-			napi_throw_type_error( env, nullptr, "invalid argument. Fourth argument must be a Float64Array." );
-			return nullptr;
-		}
-		if ( llabs(strideOut) > (int64_t)olen ) {
-			napi_throw_range_error( env, nullptr, "invalid argument. Fourth argument has insufficient elements based on the associated stride and the required number of output elements." );
-			return nullptr;
-		}
-
-		int64_t io;
-		if ( strideOut < 0 ) {
-			io = -strideOut;
-		} else {
-			io = 0;
-		}
-
-		double *out = (double *)Out;
-		int64_t n;
-		out[ io ] = stdlib_strided_dsnannsumors( N, (float *)X, strideX, &n );
-		out[ io+strideOut ] = (double)n;
-
-		return nullptr;
-
-	}
-
-	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_dsnannsumors, NULL, &fcn );
-		assert( status == napi_ok );
-		return fcn;
-	}
-
-	NAPI_MODULE( NODE_GYP_MODULE_NAME, Init )
-} // end namespace stdlib_blas_ext_base_dsnannsumors
diff --git a/ext/base/dsnannsumors/test/test.dsnannsumors.js b/ext/base/dsnannsumors/test/test.dsnannsumors.js
index bb1869259..75204ae0c 100644
--- a/ext/base/dsnannsumors/test/test.dsnannsumors.js
+++ b/ext/base/dsnannsumors/test/test.dsnannsumors.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dsnannsumors = require( './../lib/dsnannsumors.js' );
@@ -36,7 +35,7 @@ tape( 'main export is a function', function test( t ) {
 });
 
 tape( 'the function has an arity of 5', function test( t ) {
-	t.strictEqual( dsnannsumors.length, 5, 'has expected arity' );
+	t.strictEqual( dsnannsumors.length, 5, 'returns expected value' );
 	t.end();
 });
 
@@ -161,10 +160,9 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns a sum equ
 	t.end();
 });
 
-tape( 'the function supports `stride` parameters', function test( t ) {
+tape( 'the function supports stride parameters', function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -182,8 +180,7 @@ tape( 'the function supports `stride` parameters', function test( t ) {
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, 2, out, 2 );
+	v = dsnannsumors( 5, x, 2, out, 2 );
 
 	expected = new Float64Array( [ 5.0, 0.0, 4.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -191,10 +188,9 @@ tape( 'the function supports `stride` parameters', function test( t ) {
 	t.end();
 });
 
-tape( 'the function supports negative `stride` parameters', function test( t ) {
+tape( 'the function supports negative stride parameters', function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -212,8 +208,7 @@ tape( 'the function supports negative `stride` parameters', function test( t ) {
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, -2, out, -2 );
+	v = dsnannsumors( 5, x, -2, out, -2 );
 
 	expected = new Float64Array( [ 4.0, 0.0, 5.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -221,7 +216,7 @@ tape( 'the function supports negative `stride` parameters', function test( t ) {
 	t.end();
 });
 
-tape( 'if provided a `stride` parameter equal to `0`, the function returns a sum equal to the first element', function test( t ) {
+tape( 'if provided a stride parameter equal to `0`, the function returns a sum equal to the first element', function test( t ) {
 	var expected;
 	var out;
 	var x;
@@ -245,7 +240,6 @@ tape( 'the function supports view offsets', function test( t ) {
 	var out1;
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -265,9 +259,8 @@ tape( 'the function supports view offsets', function test( t ) {
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 	out1 = new Float64Array( out0.buffer, out0.BYTES_PER_ELEMENT*2 ); // start at the 3rd element
-	N = floor(x1.length / 2);
 
-	v = dsnannsumors( N, x1, 2, out1, 1 );
+	v = dsnannsumors( 5, x1, 2, out1, 1 );
 
 	expected0 = new Float64Array( [ 0.0, 0.0, 5.0, 4.0 ] );
 	expected1 = new Float64Array( [ 5.0, 4.0 ] );
diff --git a/ext/base/dsnannsumors/test/test.dsnannsumors.native.js b/ext/base/dsnannsumors/test/test.dsnannsumors.native.js
index 268734655..a9080e930 100644
--- a/ext/base/dsnannsumors/test/test.dsnannsumors.native.js
+++ b/ext/base/dsnannsumors/test/test.dsnannsumors.native.js
@@ -22,7 +22,6 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -170,10 +169,9 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns a sum equ
 	t.end();
 });
 
-tape( 'the function supports `stride` parameters', opts, function test( t ) {
+tape( 'the function supports stride parameters', opts, function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -191,8 +189,7 @@ tape( 'the function supports `stride` parameters', opts, function test( t ) {
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, 2, out, 2 );
+	v = dsnannsumors( 5, x, 2, out, 2 );
 
 	expected = new Float64Array( [ 5.0, 0.0, 4.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -200,10 +197,9 @@ tape( 'the function supports `stride` parameters', opts, function test( t ) {
 	t.end();
 });
 
-tape( 'the function supports negative `stride` parameters', opts, function test( t ) {
+tape( 'the function supports negative stride parameters', opts, function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -221,8 +217,7 @@ tape( 'the function supports negative `stride` parameters', opts, function test(
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, -2, out, -2 );
+	v = dsnannsumors( 5, x, -2, out, -2 );
 
 	expected = new Float64Array( [ 4.0, 0.0, 5.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -230,7 +225,7 @@ tape( 'the function supports negative `stride` parameters', opts, function test(
 	t.end();
 });
 
-tape( 'if provided a `stride` parameter equal to `0`, the function returns a sum equal to the first element', opts, function test( t ) {
+tape( 'if provided a stride parameter equal to `0`, the function returns a sum equal to the first element', opts, function test( t ) {
 	var expected;
 	var out;
 	var x;
@@ -254,7 +249,6 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 	var out1;
 	var x0;
 	var x1;
-	var N;
 	var v;
 
 	x0 = new Float32Array([
@@ -274,9 +268,8 @@ tape( 'the function supports view offsets', opts, function test( t ) {
 
 	x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 	out1 = new Float64Array( out0.buffer, out0.BYTES_PER_ELEMENT*2 ); // start at the 3rd element
-	N = floor(x1.length / 2);
 
-	v = dsnannsumors( N, x1, 2, out1, 1 );
+	v = dsnannsumors( 5, x1, 2, out1, 1 );
 
 	expected0 = new Float64Array( [ 0.0, 0.0, 5.0, 4.0 ] );
 	expected1 = new Float64Array( [ 5.0, 4.0 ] );
diff --git a/ext/base/dsnannsumors/test/test.ndarray.js b/ext/base/dsnannsumors/test/test.ndarray.js
index 3783429c4..95ec7e29d 100644
--- a/ext/base/dsnannsumors/test/test.ndarray.js
+++ b/ext/base/dsnannsumors/test/test.ndarray.js
@@ -21,7 +21,6 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var floor = require( '@stdlib/math/base/special/floor' );
 var Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var dsnannsumors = require( './../lib/ndarray.js' );
@@ -36,7 +35,7 @@ tape( 'main export is a function', function test( t ) {
 });
 
 tape( 'the function has an arity of 7', function test( t ) {
-	t.strictEqual( dsnannsumors.length, 7, 'has expected arity' );
+	t.strictEqual( dsnannsumors.length, 7, 'returns expected value' );
 	t.end();
 });
 
@@ -161,10 +160,9 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 	t.end();
 });
 
-tape( 'the function supports a `stride` parameter', function test( t ) {
+tape( 'the function supports a stride parameter', function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -182,8 +180,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, 2, 0, out, 2, 0 );
+	v = dsnannsumors( 5, x, 2, 0, out, 2, 0 );
 
 	expected = new Float64Array( [ 5.0, 0.0, 4.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -191,10 +188,9 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 	t.end();
 });
 
-tape( 'the function supports a negative `stride` parameter', function test( t ) {
+tape( 'the function supports a negative stride parameter', function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -212,8 +208,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, -2, 8, out, -2, 2 );
+	v = dsnannsumors( 5, x, -2, 8, out, -2, 2 );
 
 	expected = new Float64Array( [ 4.0, 0.0, 5.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -221,7 +216,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 	t.end();
 });
 
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) {
+tape( 'if provided a stride parameter equal to `0`, the function returns the first indexed element', function test( t ) {
 	var expected;
 	var out;
 	var x;
@@ -241,7 +236,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports `offset` parameters', function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -258,9 +252,8 @@ tape( 'the function supports `offset` parameters', function test( t ) {
 		NaN   // 4
 	]);
 	out = new Float64Array( 4 );
-	N = floor( x.length / 2 );
 
-	v = dsnannsumors( N, x, 2, 1, out, 2, 1 );
+	v = dsnannsumors( 5, x, 2, 1, out, 2, 1 );
 
 	expected = new Float64Array( [ 0.0, 5.0, 0.0, 4.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
diff --git a/ext/base/dsnannsumors/test/test.ndarray.native.js b/ext/base/dsnannsumors/test/test.ndarray.native.js
index 3df663345..93fd5f0a0 100644
--- a/ext/base/dsnannsumors/test/test.ndarray.native.js
+++ b/ext/base/dsnannsumors/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 Float32Array = require( '@stdlib/array/float32' );
 var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -170,10 +169,9 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first
 	t.end();
 });
 
-tape( 'the function supports a `stride` parameter', opts, function test( t ) {
+tape( 'the function supports a stride parameter', opts, function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -191,8 +189,7 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, 2, 0, out, 2, 0 );
+	v = dsnannsumors( 5, x, 2, 0, out, 2, 0 );
 
 	expected = new Float64Array( [ 5.0, 0.0, 4.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -200,10 +197,9 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 	t.end();
 });
 
-tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
+tape( 'the function supports a negative stride parameter', opts, function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -221,8 +217,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 	]);
 	out = new Float64Array( 4 );
 
-	N = floor( x.length / 2 );
-	v = dsnannsumors( N, x, -2, 8, out, -2, 2 );
+	v = dsnannsumors( 5, x, -2, 8, out, -2, 2 );
 
 	expected = new Float64Array( [ 4.0, 0.0, 5.0, 0.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );
@@ -230,7 +225,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 	t.end();
 });
 
-tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', opts, function test( t ) {
+tape( 'if provided a stride parameter equal to `0`, the function returns the first indexed element', opts, function test( t ) {
 	var expected;
 	var out;
 	var x;
@@ -250,7 +245,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f
 tape( 'the function supports `offset` parameters', opts, function test( t ) {
 	var expected;
 	var out;
-	var N;
 	var x;
 	var v;
 
@@ -267,9 +261,8 @@ tape( 'the function supports `offset` parameters', opts, function test( t ) {
 		NaN   // 4
 	]);
 	out = new Float64Array( 4 );
-	N = floor( x.length / 2 );
 
-	v = dsnannsumors( N, x, 2, 1, out, 2, 1 );
+	v = dsnannsumors( 5, x, 2, 1, out, 2, 1 );
 
 	expected = new Float64Array( [ 0.0, 5.0, 0.0, 4.0 ] );
 	t.deepEqual( v, expected, 'returns expected value' );