diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/README.md b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/README.md
new file mode 100644
index 000000000000..b0e2f4ad13e8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/README.md
@@ -0,0 +1,345 @@
+
+
+# snanmeanpw
+
+> Calculate the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.
+
+
+
+The [arithmetic mean][arithmetic-mean] is defined as
+
+
+
+```math
+\mu = \frac{1}{n} \sum_{i=0}^{n-1} x_i
+```
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var snanmeanpw = require( '@stdlib/stats/strided/snanmeanpw' );
+```
+
+#### snanmeanpw( N, x, strideX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using pairwise summation.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
+
+var v = snanmeanpw( x.length, x, 1 );
+// returns ~0.3333
+```
+
+The function has the following parameters:
+
+- **N**: number of indexed elements.
+- **x**: input [`Float32Array`][@stdlib/array/float32].
+- **strideX**: stride length for `x`.
+
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
+
+
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ] );
+
+var v = snanmeanpw( 5, x, 2 );
+// returns 1.25
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
+var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+var v = snanmeanpw( 5, x1, 2 );
+// returns 1.25
+```
+
+#### snanmeanpw.ndarray( N, x, strideX, offsetX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using pairwise summation and alternative indexing semantics.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
+
+var v = snanmeanpw.ndarray( x.length, x, 1, 0 );
+// returns ~0.33333
+```
+
+The function has the following additional parameters:
+
+- **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 element in `x` starting from the second element
+
+
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
+
+var v = snanmeanpw.ndarray( 5, x, 2, 1 );
+// returns 1.25
+```
+
+
+
+
+
+
+
+## Notes
+
+- If `N <= 0`, both functions return `NaN`.
+- If every indexed element is `NaN`, both functions return `NaN`.
+- In general, pairwise summation is more numerically stable than ordinary recursive summation (i.e., "simple" summation), with slightly worse performance. While not the most numerically stable summation technique (e.g., compensated summation techniques such as the Kahan–Babuška-Neumaier algorithm are generally more numerically stable), pairwise summation strikes a reasonable balance between numerical stability and performance. If either numerical stability or performance is more desirable for your use case, consider alternative summation techniques.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var snanmeanpw = require( '@stdlib/stats/strided/snanmeanpw' );
+
+function rand() {
+ if ( bernoulli( 0.8 ) < 1 ) {
+ return NaN;
+ }
+ return uniform( -50.0, 50.0 );
+}
+
+var x = filledarrayBy( 10, 'float32', rand );
+console.log( x );
+
+var v = snanmeanpw( x.length, x, 1 );
+console.log( v );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/strided/snanmeanpw.h"
+```
+
+#### stdlib_strided_snanmeanpw( N, \*X, strideX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.
+
+```c
+const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f };
+
+float v = stdlib_strided_snanmeanpw( 4, x, 1 );
+// returns 2.0f
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] float*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+float stdlib_strided_snanmeanpw( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_snanmeanpw_ndarray( N, \*X, strideX, offsetX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using pairwise summation and alternative indexing semantics.
+
+```c
+const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, 2.0f };
+
+float v = stdlib_strided_snanmeanpw_ndarray( 4, x, 1, 0 );
+// returns ~0.33333f
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] float*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+float stdlib_strided_snanmeanpw_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/strided/snanmeanpw.h"
+#include
+
+int main( void ) {
+ // Create a strided array:
+ const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
+
+ // Specify the number of elements:
+ const int N = 6;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the arithmetic mean:
+ float v = stdlib_strided_snanmeanpw( N, x, strideX );
+
+ // Print the result:
+ printf( "mean: %f\n", v );
+}
+```
+
+
+
+
+
+
+
+
+
+* * *
+
+
+
+## References
+
+- Higham, Nicholas J. 1993. "The Accuracy of Floating Point Summation." _SIAM Journal on Scientific Computing_ 14 (4): 783–99. doi:[10.1137/0914050][@higham:1993a].
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[arithmetic-mean]: https://en.wikipedia.org/wiki/Arithmetic_mean
+
+[@stdlib/array/float32]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float32
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[@higham:1993a]: https://doi.org/10.1137/0914050
+
+
+
+[@stdlib/stats/strided/dmeanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeanpw
+
+[@stdlib/stats/strided/meanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meanpw
+
+[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.js
new file mode 100644
index 000000000000..46a549ee60e8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.js
@@ -0,0 +1,103 @@
+/**
+* @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/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var snanmeanpw = require( './../lib/snanmeanpw.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ 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 = snanmeanpw( x.length, x, 1 );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( 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/stats/strided/snanmeanpw/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..a4833af14a18
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.native.js
@@ -0,0 +1,108 @@
+/**
+* @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 resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var snanmeanpw = tryRequire( resolve( __dirname, './../lib/snanmeanpw.native.js' ) );
+var opts = {
+ 'skip': ( snanmeanpw instanceof Error )
+};
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ 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 = snanmeanpw( x.length, x, 1 );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( 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::native:len=%d', pkg, len ), opts, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..ff107296114f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.ndarray.js
@@ -0,0 +1,103 @@
+/**
+* @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/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var snanmeanpw = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ 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 = snanmeanpw( x.length, x, 1, 0 );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( 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:ndarray:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.ndarray.native.js
new file mode 100644
index 000000000000..79cca8ea2d6f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/benchmark.ndarray.native.js
@@ -0,0 +1,108 @@
+/**
+* @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 resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var snanmeanpw = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
+var opts = {
+ 'skip': ( snanmeanpw instanceof Error )
+};
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ 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 = snanmeanpw( x.length, x, 1, 0 );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( 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::native:ndarray:len=%d', pkg, len ), opts, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/c/Makefile
new file mode 100644
index 000000000000..0756dc7da20a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+ CC := $(C_COMPILER)
+else
+ CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+ -std=c99 \
+ -O3 \
+ -Wall \
+ -pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+ fPIC ?=
+else
+ fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := benchmark.length.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+ $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled benchmarks.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+ $(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+ $(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/c/benchmark.length.c
new file mode 100644
index 000000000000..51d43c20030c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/benchmark/c/benchmark.length.c
@@ -0,0 +1,200 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/strided/snanmeanpw.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "snanmeanpw"
+#define ITERATIONS 1000000
+#define REPEATS 3
+#define MIN 1
+#define MAX 6
+
+/**
+* Prints the TAP version.
+*/
+static void print_version( void ) {
+ printf( "TAP version 13\n" );
+}
+
+/**
+* Prints the TAP summary.
+*
+* @param total total number of tests
+* @param passing total number of passing tests
+*/
+static void print_summary( int total, int passing ) {
+ printf( "#\n" );
+ printf( "1..%d\n", total ); // TAP plan
+ printf( "# total %d\n", total );
+ printf( "# pass %d\n", passing );
+ printf( "#\n" );
+ printf( "# ok\n" );
+}
+
+/**
+* Prints benchmarks results.
+*
+* @param iterations number of iterations
+* @param elapsed elapsed time in seconds
+*/
+static void print_results( int iterations, double elapsed ) {
+ double rate = (double)iterations / elapsed;
+ printf( " ---\n" );
+ printf( " iterations: %d\n", iterations );
+ printf( " elapsed: %0.9f\n", elapsed );
+ printf( " rate: %0.9f\n", rate );
+ printf( " ...\n" );
+}
+
+/**
+* Returns a clock time.
+*
+* @return clock time
+*/
+static double tic( void ) {
+ struct timeval now;
+ gettimeofday( &now, NULL );
+ return (double)now.tv_sec + (double)now.tv_usec/1.0e6;
+}
+
+/**
+* Generates a random number on the interval [0,1).
+*
+* @return random number
+*/
+static float rand_float( void ) {
+ int r = rand();
+ return (float)r / ( (float)RAND_MAX + 1.0f );
+}
+
+/**
+* Runs a benchmark.
+*
+* @param iterations number of iterations
+* @param len array length
+* @return elapsed time in seconds
+*/
+static double benchmark1( int iterations, int len ) {
+ double elapsed;
+ float* x;
+ float v;
+ double t;
+ int i;
+
+ x = (float *)malloc( len * sizeof( float ) );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
+ }
+ v = 0.0f;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
+ v = stdlib_strided_snanmeanpw( len, x, 1 );
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ }
+ free( x );
+ return elapsed;
+}
+
+/**
+* Runs a benchmark.
+*
+* @param iterations number of iterations
+* @param len array length
+* @return elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+ double elapsed;
+ float* x;
+ float v;
+ double t;
+ int i;
+
+ x = (float *)malloc( len * sizeof( float) );
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = ( rand_float()*20000.0f ) - 10000.0f;
+ }
+ v = 0.0f;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
+ v = stdlib_strided_snanmeanpw_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.
+*/
+int main( void ) {
+ double elapsed;
+ int count;
+ int iter;
+ int len;
+ int i;
+ int j;
+
+ // Use the current time to seed the random number generator:
+ srand( time( NULL ) );
+
+ print_version();
+ count = 0;
+ 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: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 );
+ print_results( iter, elapsed );
+ printf( "ok %d benchmark finished\n", count );
+ }
+ }
+ print_summary( count, count );
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/binding.gyp b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/binding.gyp
@@ -0,0 +1,170 @@
+# @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.
+
+# A `.gyp` file for building a Node.js native add-on.
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+ # List of files to include in this file:
+ 'includes': [
+ './include.gypi',
+ ],
+
+ # Define variables to be used throughout the configuration for all targets:
+ 'variables': {
+ # Target name should match the add-on export name:
+ 'addon_target_name%': 'addon',
+
+ # Set variables based on the host OS:
+ 'conditions': [
+ [
+ 'OS=="win"',
+ {
+ # Define the object file suffix:
+ 'obj': 'obj',
+ },
+ {
+ # Define the object file suffix:
+ 'obj': 'o',
+ }
+ ], # end condition (OS=="win")
+ ], # end conditions
+ }, # end variables
+
+ # Define compile targets:
+ 'targets': [
+
+ # Target to generate an add-on:
+ {
+ # The target name should match the add-on export name:
+ 'target_name': '<(addon_target_name)',
+
+ # Define dependencies:
+ 'dependencies': [],
+
+ # Define directories which contain relevant include headers:
+ 'include_dirs': [
+ # Local include directory:
+ '<@(include_dirs)',
+ ],
+
+ # List of source files:
+ 'sources': [
+ '<@(src_files)',
+ ],
+
+ # Settings which should be applied when a target's object files are used as linker input:
+ 'link_settings': {
+ # Define libraries:
+ 'libraries': [
+ '<@(libraries)',
+ ],
+
+ # Define library directories:
+ 'library_dirs': [
+ '<@(library_dirs)',
+ ],
+ },
+
+ # C/C++ compiler flags:
+ 'cflags': [
+ # Enable commonly used warning options:
+ '-Wall',
+
+ # Aggressive optimization:
+ '-O3',
+ ],
+
+ # C specific compiler flags:
+ 'cflags_c': [
+ # Specify the C standard to which a program is expected to conform:
+ '-std=c99',
+ ],
+
+ # C++ specific compiler flags:
+ 'cflags_cpp': [
+ # Specify the C++ standard to which a program is expected to conform:
+ '-std=c++11',
+ ],
+
+ # Linker flags:
+ 'ldflags': [],
+
+ # Apply conditions based on the host OS:
+ 'conditions': [
+ [
+ 'OS=="mac"',
+ {
+ # Linker flags:
+ 'ldflags': [
+ '-undefined dynamic_lookup',
+ '-Wl,-no-pie',
+ '-Wl,-search_paths_first',
+ ],
+ },
+ ], # end condition (OS=="mac")
+ [
+ 'OS!="win"',
+ {
+ # C/C++ flags:
+ 'cflags': [
+ # Generate platform-independent code:
+ '-fPIC',
+ ],
+ },
+ ], # end condition (OS!="win")
+ ], # end conditions
+ }, # end target <(addon_target_name)
+
+ # Target to copy a generated add-on to a standard location:
+ {
+ 'target_name': 'copy_addon',
+
+ # Declare that the output of this target is not linked:
+ 'type': 'none',
+
+ # Define dependencies:
+ 'dependencies': [
+ # Require that the add-on be generated before building this target:
+ '<(addon_target_name)',
+ ],
+
+ # Define a list of actions:
+ 'actions': [
+ {
+ 'action_name': 'copy_addon',
+ 'message': 'Copying addon...',
+
+ # Explicitly list the inputs in the command-line invocation below:
+ 'inputs': [],
+
+ # Declare the expected outputs:
+ 'outputs': [
+ '<(addon_output_dir)/<(addon_target_name).node',
+ ],
+
+ # Define the command-line invocation:
+ 'action': [
+ 'cp',
+ '<(PRODUCT_DIR)/<(addon_target_name).node',
+ '<(addon_output_dir)/<(addon_target_name).node',
+ ],
+ },
+ ], # end actions
+ }, # end target copy_addon
+ ], # end targets
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/repl.txt b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/repl.txt
new file mode 100644
index 000000000000..d571ba9d8dd8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/repl.txt
@@ -0,0 +1,90 @@
+
+{{alias}}( N, x, strideX )
+ Computes the arithmetic mean of a single-precision floating-point strided
+ array ignoring `NaN` values and using pairwise summation.
+
+ 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.
+
+ If `N <= 0`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ x: Float32Array
+ Input array.
+
+ strideX: integer
+ Stride length.
+
+ Returns
+ -------
+ out: float
+ The arithmetic mean.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0, NaN ] );
+ > {{alias}}( x.length, x, 1 )
+ ~0.3333
+
+ // 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 ] );
+ > {{alias}}( 3, x, 2 )
+ ~0.3333
+
+ // Using view offsets:
+ > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
+ > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+ > {{alias}}( 3, x1, 2 )
+ ~-0.3333
+
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
+ Computes the arithmetic mean of a single-precision floating-point strided
+ array using pairwise summation 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
+ starting index.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ x: Float32Array
+ Input array.
+
+ strideX: integer
+ Stride length.
+
+ offsetX: integer
+ Starting index.
+
+ Returns
+ -------
+ out: float
+ The arithmetic mean.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, NaN, 2.0 ] );
+ > {{alias}}.ndarray( x.length, x, 1, 0 )
+ ~0.3333
+
+ // Using offset parameter:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );
+ > {{alias}}.ndarray( 3, x, 2, 1 )
+ ~-0.3333
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/types/index.d.ts
new file mode 100644
index 000000000000..f697eb92f814
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/types/index.d.ts
@@ -0,0 +1,92 @@
+/*
+* @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
+
+/**
+* Interface describing `snanmeanpw`.
+*/
+interface Routine {
+ /**
+ * Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values using pairwise summation.
+ *
+ * @param N - number of indexed elements
+ * @param x - input array
+ * @param strideX - stride length
+ * @returns arithmetic mean
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+ *
+ * var v = snanmeanpw( x.length, x, 1 );
+ * // returns ~0.3333
+ */
+ ( N: number, x: Float32Array, strideX: number ): number;
+
+ /**
+ * Computes the arithmetic mean of a single-precision floating-point strided array ignoring `NaN` values and using pairwise summation and alternative indexing semantics.
+ *
+ * @param N - number of indexed elements
+ * @param x - input array
+ * @param strideX - stride length
+ * @param offsetX - starting index
+ * @returns arithmetic mean
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+ *
+ * var v = snanmeanpw.ndarray( x.length, x, 1, 0 );
+ * // returns ~0.3333
+ */
+ ndarray( N: number, x: Float32Array, strideX: number, offsetX: number ): number;
+}
+
+/**
+* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.
+*
+* @param N - number of indexed elements
+* @param x - input array
+* @param strideX - stride length
+* @returns arithmetic mean
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+*
+* var v = snanmeanpw( x.length, x, 1 );
+* // returns ~0.3333
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+*
+* var v = snanmeanpw.ndarray( x.length, x, 1, 0 );
+* // returns ~0.3333
+*/
+declare var snanmeanpw: Routine;
+
+
+// EXPORTS //
+
+export = snanmeanpw;
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/types/test.ts b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/types/test.ts
new file mode 100644
index 000000000000..fb9f3a61272a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/docs/types/test.ts
@@ -0,0 +1,157 @@
+/*
+* @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.
+*/
+
+import snanmeanpw = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw( x.length, x, 1 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw( '10', x, 1 ); // $ExpectError
+ snanmeanpw( true, x, 1 ); // $ExpectError
+ snanmeanpw( false, x, 1 ); // $ExpectError
+ snanmeanpw( null, x, 1 ); // $ExpectError
+ snanmeanpw( undefined, x, 1 ); // $ExpectError
+ snanmeanpw( [], x, 1 ); // $ExpectError
+ snanmeanpw( {}, x, 1 ); // $ExpectError
+ snanmeanpw( ( x: number ): number => x, x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a Float32Array...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw( x.length, 10, 1 ); // $ExpectError
+ snanmeanpw( x.length, '10', 1 ); // $ExpectError
+ snanmeanpw( x.length, true, 1 ); // $ExpectError
+ snanmeanpw( x.length, false, 1 ); // $ExpectError
+ snanmeanpw( x.length, null, 1 ); // $ExpectError
+ snanmeanpw( x.length, undefined, 1 ); // $ExpectError
+ snanmeanpw( x.length, [], 1 ); // $ExpectError
+ snanmeanpw( x.length, {}, 1 ); // $ExpectError
+ snanmeanpw( x.length, ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw( x.length, x, '10' ); // $ExpectError
+ snanmeanpw( x.length, x, true ); // $ExpectError
+ snanmeanpw( x.length, x, false ); // $ExpectError
+ snanmeanpw( x.length, x, null ); // $ExpectError
+ snanmeanpw( x.length, x, undefined ); // $ExpectError
+ snanmeanpw( x.length, x, [] ); // $ExpectError
+ snanmeanpw( x.length, x, {} ); // $ExpectError
+ snanmeanpw( x.length, x, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw(); // $ExpectError
+ snanmeanpw( x.length ); // $ExpectError
+ snanmeanpw( x.length, x ); // $ExpectError
+ snanmeanpw( x.length, x, 1, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a number...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw.ndarray( x.length, x, 1, 0 ); // $ExpectType number
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw.ndarray( '10', x, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( true, x, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( false, x, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( null, x, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( undefined, x, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( [], x, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( {}, x, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( ( x: number ): number => x, x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a Float32Array...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw.ndarray( x.length, 10, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, '10', 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, true, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, false, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, null, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, undefined, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, [], 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, {}, 1, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw.ndarray( x.length, x, '10', 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, true, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, false, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, null, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, undefined, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, [], 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, {}, 0 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw.ndarray( x.length, x, 1, '10' ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, true ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, false ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, null ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, undefined ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, [] ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, {} ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const x = new Float32Array( 10 );
+
+ snanmeanpw.ndarray(); // $ExpectError
+ snanmeanpw.ndarray( x.length ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1 ); // $ExpectError
+ snanmeanpw.ndarray( x.length, x, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/c/Makefile b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+ CC := $(C_COMPILER)
+else
+ CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+ -std=c99 \
+ -O3 \
+ -Wall \
+ -pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+ fPIC ?=
+else
+ fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := example.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+ $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled examples.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+ $(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+ $(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/c/example.c b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/c/example.c
new file mode 100644
index 000000000000..4b84625be702
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/c/example.c
@@ -0,0 +1,37 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/strided/snanmeanpw.h"
+#include
+
+int main( void ) {
+ // Create a strided array:
+ const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 0.0f/0.0f, 8.0f };
+
+ // Specify the number of elements:
+ const int N = 5;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the arithmetic mean:
+ float v = stdlib_strided_snanmeanpw( N, x, strideX );
+
+ // Print the result:
+ printf( "mean: %f\n", v );
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/index.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/index.js
new file mode 100644
index 000000000000..0680a30af498
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/examples/index.js
@@ -0,0 +1,37 @@
+/**
+* @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 uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var snanmeanpw = require( './../lib' );
+
+function rand() {
+ if ( bernoulli( 0.8 ) < 1 ) {
+ return NaN;
+ }
+ return uniform( -50.0, 50.0 );
+}
+
+var x = filledarrayBy( 10, 'float32', rand );
+console.log( x );
+
+var v = snanmeanpw( x.length, x, 1 );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/include.gypi b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/include.gypi
@@ -0,0 +1,53 @@
+# @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.
+
+# A GYP include file for building a Node.js native add-on.
+#
+# Main documentation:
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+ # Define variables to be used throughout the configuration for all targets:
+ 'variables': {
+ # Source directory:
+ 'src_dir': './src',
+
+ # Include directories:
+ 'include_dirs': [
+ '=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "mathematics",
+ "math",
+ "average",
+ "avg",
+ "mean",
+ "arithmetic mean",
+ "central tendency",
+ "pairwise",
+ "pw",
+ "strided",
+ "strided array",
+ "typed",
+ "array",
+ "float32",
+ "float",
+ "float32array"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/Makefile b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @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.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+
+# RULES #
+
+#/
+# Removes generated files for building an add-on.
+#
+# @example
+# make clean-addon
+#/
+clean-addon:
+ $(QUIET) -rm -f *.o *.node
+
+.PHONY: clean-addon
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean: clean-addon
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/addon.c b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/addon.c
new file mode 100644
index 000000000000..6cf55710301c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/addon.c
@@ -0,0 +1,61 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/strided/snanmeanpw.h"
+#include "stdlib/blas/base/shared.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/create_double.h"
+#include
+
+/**
+* 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_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_snanmeanpw)( 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_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_snanmeanpw_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/strided/snanmeanpw/src/main.c b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/main.c
new file mode 100644
index 000000000000..a1d4e389ae2b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/src/main.c
@@ -0,0 +1,76 @@
+/**
+* @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.
+*/
+
+#include "stdlib/blas/base/shared/cblas.h"
+#include "stdlib/stats/strided/snanmeanpw.h"
+#include "stdlib/blas/ext/base/snansumpw.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
+
+/**
+* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring 'NaN' values and using pairwise summation.
+*
+* @param N number of indexed elements
+* @param X input array
+* @param strideX stride length
+* @return output value
+*/
+float API_SUFFIX(stdlib_strided_snanmeanpw)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
+ const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+ return API_SUFFIX(stdlib_strided_snanmeanpw_ndarray)( N, X, strideX, ox );
+}
+
+/**
+* Computes the arithmetic mean of a single-precision floating-point strided array using pairwise summation and alternative indexing semantics, ignoring `NaN` values.
+*
+* @param N number of indexed elements
+* @param X input array
+* @param strideX stride length
+* @param offsetX starting index for X
+* @return output value
+*/
+float API_SUFFIX(stdlib_strided_snanmeanpw_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+ CBLAS_INT ix;
+ CBLAS_INT i;
+ CBLAS_INT n;
+ float v;
+ if ( N <= 0 ) {
+ return 0.0f / 0.0f; // NaN
+ }
+ if ( N == 1 || strideX == 0 ) {
+ return X[ 0 ];
+ }
+
+ ix = offsetX;
+ n = 0;
+
+ // Compute non-NaN terms
+ for( i = 0; i < N; i++ ) {
+ v = X[ix];
+ if ( v == v ) {
+ n += 1;
+ }
+ ix += strideX;
+ }
+
+ if ( n == 0 ) {
+ return 0.0f / 0.0f; // NaN
+ }
+
+ return (double)API_SUFFIX(stdlib_strided_snansumpw_ndarray)( N, X, strideX, offsetX ) / (double)n;
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.js
new file mode 100644
index 000000000000..c8da3b0b03e2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @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 tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var snanmeanpw = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof snanmeanpw, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof snanmeanpw.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var snanmeanpw = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( snanmeanpw, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var snanmeanpw;
+ var main;
+
+ main = require( './../lib/snanmeanpw.js' );
+
+ snanmeanpw = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( snanmeanpw, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.ndarray.js
new file mode 100644
index 000000000000..cd7645dcbc41
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.ndarray.js
@@ -0,0 +1,168 @@
+/**
+* @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 tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float32Array = require( '@stdlib/array/float32' );
+var snanmeanpw = require( './../lib/ndarray.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof snanmeanpw, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 4', function test( t ) {
+ t.strictEqual( snanmeanpw.length, 4, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function calculates the arithmetic mean of a strided array, ignoring `NaN` values', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 1, 0 );
+ t.strictEqual( v, 0.5, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1, 0 );
+ t.strictEqual( v, -4.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1, 0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 0, x, 1, 0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ v = snanmeanpw( -1, x, 1, 0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns the first indexed element', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 1, x, 1, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0,
+ NaN // 4
+ ]);
+
+ v = snanmeanpw( 5, 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 Float32Array([
+ 1.0, // 4
+ 2.0,
+ 2.0, // 3
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 1
+ 2.0,
+ NaN // 0
+ ]);
+
+ v = snanmeanpw( 5, x, -2, 8 );
+
+ t.strictEqual( v, 1.25, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 0, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an `offset` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ NaN,
+ NaN // 4
+ ]);
+
+ v = snanmeanpw( 5, x, 2, 1 );
+ t.strictEqual( v, 1.25, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.ndarray.native.js
new file mode 100644
index 000000000000..6f9a2c2cf0d6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.ndarray.native.js
@@ -0,0 +1,177 @@
+/**
+* @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 resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float32Array = require( '@stdlib/array/float32' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+
+
+// VARIABLES //
+
+var snanmeanpw = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
+var opts = {
+ 'skip': ( snanmeanpw instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof snanmeanpw, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 4', opts, function test( t ) {
+ t.strictEqual( snanmeanpw.length, 4, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function calculates the arithmetic mean of a strided array, ignoring `NaN` values', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 1, 0 );
+ t.strictEqual( v, 0.5, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1, 0 );
+ t.strictEqual( v, -4.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1, 0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 0, x, 1, 0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ v = snanmeanpw( -1, x, 1, 0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns the first indexed element', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 1, x, 1, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0,
+ NaN // 4
+ ]);
+
+ v = snanmeanpw( 5, 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 Float32Array([
+ 1.0, // 4
+ 2.0,
+ 2.0, // 3
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 1
+ 2.0,
+ NaN // 0
+ ]);
+
+ v = snanmeanpw( 5, x, -2, 8 );
+
+ t.strictEqual( v, 1.25, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first indexed element', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 0, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an `offset` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ NaN,
+ NaN // 4
+ ]);
+
+ v = snanmeanpw( 5, x, 2, 1 );
+ t.strictEqual( v, 1.25, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.snanmeanpw.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.snanmeanpw.js
new file mode 100644
index 000000000000..9c80c6d0d8c7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.snanmeanpw.js
@@ -0,0 +1,169 @@
+/**
+* @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 tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float32Array = require( '@stdlib/array/float32' );
+var snanmeanpw = require( './../lib/snanmeanpw' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof snanmeanpw, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 3', function test( t ) {
+ t.strictEqual( snanmeanpw.length, 3, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function calculates the arithmetic mean of a strided array, ignoring `NaN` values', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 1 );
+ t.strictEqual( v, 0.5, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1 );
+ t.strictEqual( v, -4.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 0, x, 1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ v = snanmeanpw( -1, x, 1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns the first element', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 1, x, 1 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+
+ v = snanmeanpw( 4, x, 2 );
+
+ t.strictEqual( v, 1.25, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+
+ v = snanmeanpw( 4, x, -2 );
+
+ t.strictEqual( v, 1.25, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports view offsets', function test( t ) {
+ var x0;
+ var x1;
+ var v;
+
+ x0 = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0,
+ NaN // 4
+ ]);
+
+ x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+ v = snanmeanpw( 5, x1, 2 );
+ t.strictEqual( v, 1.25, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.snanmeanpw.native.js b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.snanmeanpw.native.js
new file mode 100644
index 000000000000..e077470a3f54
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/snanmeanpw/test/test.snanmeanpw.native.js
@@ -0,0 +1,178 @@
+/**
+* @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 resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float32Array = require( '@stdlib/array/float32' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+
+
+// VARIABLES //
+
+var snanmeanpw = tryRequire( resolve( __dirname, './../lib/snanmeanpw.native.js' ) );
+var opts = {
+ 'skip': ( snanmeanpw instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof snanmeanpw, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 3', opts, function test( t ) {
+ t.strictEqual( snanmeanpw.length, 3, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function calculates the arithmetic mean of a strided array, ignoring `NaN` values', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, NaN, 0.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 1 );
+ t.strictEqual( v, 0.5, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1 );
+ t.strictEqual( v, -4.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+
+ v = snanmeanpw( x.length, x, 1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 0, x, 1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ v = snanmeanpw( -1, x, 1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns the first element', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( 1, x, 1 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+
+ v = snanmeanpw( 4, x, 2 );
+
+ t.strictEqual( v, 1.25, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+
+ v = snanmeanpw( 4, x, -2 );
+
+ t.strictEqual( v, 1.25, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns the first element', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = snanmeanpw( x.length, x, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports view offsets', opts, function test( t ) {
+ var x0;
+ var x1;
+ var v;
+
+ x0 = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0,
+ NaN // 4
+ ]);
+
+ x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+ v = snanmeanpw( 5, x1, 2 );
+ t.strictEqual( v, 1.25, 'returns expected value' );
+
+ t.end();
+});