diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/README.md
new file mode 100644
index 000000000000..bc19d0e4b780
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/README.md
@@ -0,0 +1,126 @@
+
+
+# dsnansumors
+
+> Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var dsnansumors = require( '@stdlib/blas/ext/base/ndarray/dsnansumors' );
+```
+
+#### dsnansumors( arrays )
+
+Computes the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
+
+```javascript
+var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+
+var x = new Float32Vector( [ 1.0, -2.0, NaN, 2.0 ] );
+
+var v = dsnansumors( [ x ] );
+// returns 1.0
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing a one-dimensional input ndarray.
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty one-dimensional ndarray, the function returns `0.0`.
+- Ordinary recursive summation (i.e., a "simple" sum) is performant, but can incur significant numerical error. If performance is paramount and error tolerated, using ordinary recursive summation is acceptable; in all other cases, exercise due caution.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var fillBy = require( '@stdlib/ndarray/fill-by' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dsnansumors = require( '@stdlib/blas/ext/base/ndarray/dsnansumors' );
+
+function clbk() {
+ if ( bernoulli( 0.7 ) > 0 ) {
+ return discreteUniform( 0, 100 );
+ }
+ return NaN;
+}
+
+var opts = {
+ 'dtype': 'float32'
+};
+var x = fillBy( zeros( [ 10 ], opts ), clbk );
+console.log( ndarray2array( x ) );
+
+var v = dsnansumors( [ x ] );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/benchmark/benchmark.js
new file mode 100644
index 000000000000..83e53d77a448
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/benchmark/benchmark.js
@@ -0,0 +1,119 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var fillBy = require( '@stdlib/ndarray/fill-by' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dsnansumors = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Returns a random number or NaN.
+*
+* @private
+* @returns {number} random number or NaN
+*/
+function rand() {
+ if ( bernoulli( 0.8 ) > 0 ) {
+ return uniform( -10.0, 10.0 );
+ }
+ return NaN;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = fillBy( zeros( [ len ], options ), rand );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = dsnansumors( [ x ] );
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/repl.txt
new file mode 100644
index 000000000000..8aec0c2ba13c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/repl.txt
@@ -0,0 +1,27 @@
+
+{{alias}}( arrays )
+ Computes the sum of a one-dimensional single-precision floating-point
+ ndarray, ignoring `NaN` values, using ordinary recursive summation with
+ extended accumulation, and returning an extended precision result.
+
+ If provided an empty ndarray, the function returns `0.0`.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing a one-dimensional input ndarray.
+
+ Returns
+ -------
+ out: number
+ Sum.
+
+ Examples
+ --------
+ > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 1.0, -2.0, NaN, 2.0 ] );
+ > {{alias}}( [ x ] )
+ 1.0
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/types/index.d.ts
new file mode 100644
index 000000000000..6e3a7dea3267
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/types/index.d.ts
@@ -0,0 +1,50 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { float32ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns sum
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+*
+* var x = new Float32Vector( [ 1.0, -2.0, NaN, 2.0 ] );
+*
+* var v = dsnansumors( [ x ] );
+* // returns 1.0
+*/
+declare function dsnansumors( arrays: [ float32ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = dsnansumors;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/types/test.ts
new file mode 100644
index 000000000000..19fb887df131
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/docs/types/test.ts
@@ -0,0 +1,57 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import dsnansumors = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float32'
+ });
+
+ dsnansumors( [ x ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ dsnansumors( '10' ); // $ExpectError
+ dsnansumors( 10 ); // $ExpectError
+ dsnansumors( true ); // $ExpectError
+ dsnansumors( false ); // $ExpectError
+ dsnansumors( null ); // $ExpectError
+ dsnansumors( undefined ); // $ExpectError
+ dsnansumors( [] ); // $ExpectError
+ dsnansumors( {} ); // $ExpectError
+ dsnansumors( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 10 ], {
+ 'dtype': 'float32'
+ });
+
+ dsnansumors(); // $ExpectError
+ dsnansumors( [ x ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/examples/index.js
new file mode 100644
index 000000000000..6972bd089515
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+'use strict';
+
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var fillBy = require( '@stdlib/ndarray/fill-by' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dsnansumors = require( './../lib' );
+
+function clbk() {
+ if ( bernoulli( 0.7 ) > 0 ) {
+ return discreteUniform( 0, 100 );
+ }
+ return NaN;
+}
+
+var opts = {
+ 'dtype': 'float32'
+};
+var x = fillBy( zeros( [ 10 ], opts ), clbk );
+console.log( ndarray2array( x ) );
+
+var v = dsnansumors( [ x ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/lib/index.js
new file mode 100644
index 000000000000..130b04d5892f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/lib/index.js
@@ -0,0 +1,43 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+'use strict';
+
+/**
+* Compute the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
+*
+* @module @stdlib/blas/ext/base/ndarray/dsnansumors
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var dsnansumors = require( '@stdlib/blas/ext/base/ndarray/dsnansumors' );
+*
+* var x = new Float32Vector( [ 1.0, -2.0, NaN, 2.0 ] );
+*
+* var v = dsnansumors( [ x ] );
+* // returns 1.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/lib/main.js
new file mode 100644
index 000000000000..1937de9ff5af
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dsnansumors/lib/main.js
@@ -0,0 +1,60 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/dsnansumors' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the sum of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+*
+* @param {ArrayLikeObject