diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/README.md b/lib/node_modules/@stdlib/blas/ext/base/drrss/README.md
new file mode 100644
index 000000000000..16561a6f74a3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/README.md
@@ -0,0 +1,339 @@
+
+
+# drrss
+
+> Calculate the square root of the [residual sum of squares][wikipedia-residual-sum-of-squares] of two double-precision floating-point strided arrays.
+
+
+
+The square root of the [residual sum of squares][wikipedia-residual-sum-of-squares] is defined as
+
+
+
+```math
+d = \sqrt{\sum_{i=0}^{N-1} (y_i - x_i)^2}
+```
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var drrss = require( '@stdlib/blas/ext/base/drrss' );
+```
+
+#### drrss( N, x, strideX, y, strideY )
+
+Computes the square root of the [residual sum of squares][wikipedia-residual-sum-of-squares] of two double-precision floating-point strided arrays.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+var y = new Float64Array( [ 1.0, 1.0, -4.0 ] );
+
+var z = drrss( x.length, x, 1, y, 1 );
+// returns ~6.7
+```
+
+The function has the following parameters:
+
+- **N**: number of indexed elements.
+- **x**: first input [`Float64Array`][@stdlib/array/float64].
+- **strideX**: stride length for `x`.
+- **y**: second input [`Float64Array`][@stdlib/array/float64].
+- **strideY**: stride length for `y`.
+
+The `N` and stride parameters determine which elements in strided arrays are accessed at runtime. For example, to compute the [residual sum of squares][wikipedia-residual-sum-of-squares] of every other element in `x` and `y`
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
+var y = new Float64Array( [ 2.0, 1.0, 2.0, 1.0, -2.0, 2.0, 3.0, 4.0 ] );
+
+var z = drrss( x.length, x, 1, y, 1 );
+// returns ~8.485
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+var y0 = new Float64Array( [ 8.0, -2.0, 3.0, -2.0, 7.0, -2.0, 0.0, -1.0 ] );
+
+var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+var z = drrss( 4, x1, 2, y1, 2 );
+// returns ~7.071
+```
+
+If `N` is less than or equal to `0`, the function returns `0`.
+
+#### drrss.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
+
+Computes the square root of the [residual sum of squares][wikipedia-residual-sum-of-squares] of two double-precision floating-point strided arrays using alternative indexing semantics.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+var y = new Float64Array( [ 1.0, 1.0, -4.0 ] );
+
+var z = drrss.ndarray( x.length, x, 1, 0, y, 1, 0 );
+// returns ~6.7
+```
+
+The function has the following additional parameters:
+
+- **offsetX**: starting index for `x`.
+- **offsetY**: starting index for `y`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to calculate the square root of the [residual sum of squares][wikipedia-residual-sum-of-squares] for every other element in `x` and `y` starting from the second element
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, 6.0 ] );
+var y = new Float64Array( [ 8.0, -2.0, 3.0, -2.0, 7.0, -2.0, 0.0, -1.0, 4.0 ] );
+
+var z = drrss.ndarray( 4, x, 2, 1, y, 2, 1 );
+// returns ~7.071
+```
+
+
+
+
+
+
+
+## Notes
+
+- If `N <= 0`, both functions return `0.0`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var drrss = require( '@stdlib/blas/ext/base/drrss' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = discreteUniform( 10, -50, 50, opts );
+console.log( x );
+
+var y = discreteUniform( 10, -50, 50, opts );
+console.log( y );
+
+var d = drrss( x.length, x, 1, y, 1 );
+console.log( d );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/blas/ext/base/drrss.h"
+```
+
+#### stdlib_strided_drrss( N, \*X, strideX, \*Y, strideY )
+
+Computes the square root of the [residual sum of squares][wikipedia-residual-sum-of-squares] of two double-precision floating-point strided arrays.
+
+```c
+const double x[] = { 1.0, -2.0, 2.0 };
+const double y[] = { 1.0, 1.0, -4.0 };
+
+double z = stdlib_strided_drrss( 3, x, 1, y, 1 );
+// returns ~6.7
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` first input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **Y**: `[in] double*` second input array.
+- **strideY**: `[in] CBLAS_INT` stride length for `Y`.
+
+```c
+double stdlib_strided_drrss( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY );
+```
+
+
+
+#### stdlib_strided_drrss_ndarray( N, \*X, strideX, offsetX, \*Y, strideY, offsetY )
+
+
+
+Computes the square root of the [residual sum of squares][wikipedia-residual-sum-of-squares] of two double-precision floating-point strided arrays using alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, -2.0, 2.0 };
+const double y[] = { 1.0, 1.0, -4.0 };
+
+double v = stdlib_strided_drrss_ndarray( 3, x, 1, 0, 1, 0 );
+// returns ~6.7
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` first input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+- **Y**: `[in] double*` second input array.
+- **strideY**: `[in] CBLAS_INT` stride length for `Y`.
+- **offsetY**: `[in] CBLAS_INT` starting index for `Y`.
+
+```c
+double stdlib_strided_drrss_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const double *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/blas/ext/base/drrss.h"
+#include
+
+int main( void ) {
+ // Create two strided arrays:
+ const double x[] = { 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 };
+ const double y[] = { 5.0, 12.0, -8.0, 15.0, 9.0, 0.0 };
+
+ // Specify the number of elements:
+ const int N = 5;
+
+ // Specify the stride lengths:
+ const int strideX = 1;
+ const int strideY = 1;
+
+ // Compute the square root of the residual sum of squares of `x` and `y`:
+ double d = stdlib_strided_drrss( N, x, strideX, y, strideY );
+
+ // Print the result:
+ printf( "drrss: %lf\n", d );
+
+ // Specify index offsets:
+ const int offsetX = 1;
+ const int offsetY = 1;
+
+ // Compute the square root of the residual sum of squares of `x` and `y` with offsets:
+ d = stdlib_strided_drrss_ndarray( N, x, strideX, offsetX, y, strideY, offsetY );
+
+ // Print the result:
+ printf( "drrss: %lf\n", d );
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[wikipedia-residual-sum-of-squares]: https://en.wikipedia.org/wiki/Residual_sum_of_squares
+
+[@stdlib/array/float64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float64
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.js
new file mode 100644
index 000000000000..fe696128e3b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.js
@@ -0,0 +1,97 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 pkg = require( './../package.json' ).name;
+var drrss = require( './../lib/drrss.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -100.0, 100.0, options );
+ var y = uniform( len, -100.0, 100.0, options );
+ return benchmark;
+
+ function benchmark( b ) {
+ var d;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ d = drrss( x.length, x, 1, y, 1 );
+ if ( isnan( d ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( d ) ) {
+ 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( pkg+':len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..14573e81bcb7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.native.js
@@ -0,0 +1,102 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var drrss = tryRequire( resolve( __dirname, './../lib/drrss.native.js' ) );
+var opts = {
+ 'skip': ( drrss instanceof Error )
+};
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -100.0, 100.0, options );
+ var y = uniform( len, -100.0, 100.0, options );
+ return benchmark;
+
+ function benchmark( b ) {
+ var d;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ d = drrss( x.length, x, 1, y, 1 );
+ if ( isnan( d ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( d ) ) {
+ 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( pkg+'::native:len='+len, opts, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..77a6f66b5e1e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.ndarray.js
@@ -0,0 +1,97 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 pkg = require( './../package.json' ).name;
+var drrss = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -100.0, 100.0, options );
+ var y = uniform( len, -100.0, 100.0, options );
+ return benchmark;
+
+ function benchmark( b ) {
+ var d;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ d = drrss( x.length, x, 1, 0, y, 1, 0 );
+ if ( isnan( d ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( d ) ) {
+ 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( pkg+':ndarray:len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.ndarray.native.js
new file mode 100644
index 000000000000..ccba9b89952d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/benchmark.ndarray.native.js
@@ -0,0 +1,102 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var drrss = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
+var opts = {
+ 'skip': ( drrss instanceof Error )
+};
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -100.0, 100.0, options );
+ var y = uniform( len, -100.0, 100.0, options );
+ return benchmark;
+
+ function benchmark( b ) {
+ var d;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ d = drrss( x.length, x, 1, 0, y, 1, 0 );
+ if ( isnan( d ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( d ) ) {
+ 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( pkg+'::native:ndarray:len='+len, opts, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/c/Makefile
new file mode 100644
index 000000000000..cce2c865d7ad
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2025 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# 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/blas/ext/base/drrss/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/c/benchmark.length.c
new file mode 100644
index 000000000000..3ee7ff290b56
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/benchmark/c/benchmark.length.c
@@ -0,0 +1,201 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/blas/ext/base/drrss.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "drrss"
+#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 double rand_double( void ) {
+ int r = rand();
+ return (double)r / ( (double)RAND_MAX + 1.0 );
+}
+
+/**
+* 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;
+ double x[ len ];
+ double y[ len ];
+ double v;
+ double t;
+ int i;
+
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+ y[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+ }
+ v = 0.0;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
+ v = stdlib_strided_drrss( len, x, 1, y, 1 );
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ }
+ return elapsed;
+}
+
+/**
+* Runs a benchmark.
+*
+* @param iterations number of iterations
+* @param len array length
+* @return elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+ double elapsed;
+ double x[ len ];
+ double y[ len ];
+ double v;
+ double t;
+ int i;
+
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+ y[ i ] = ( rand_double() * 20000.0 ) - 10000.0;
+ }
+ v = 0.0;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
+ v = stdlib_strided_drrss_ndarray( len, x, 1, 0, y, 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/blas/ext/base/drrss/binding.gyp b/lib/node_modules/@stdlib/blas/ext/base/drrss/binding.gyp
new file mode 100644
index 000000000000..68a1ca11d160
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/binding.gyp
@@ -0,0 +1,170 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2025 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# 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/blas/ext/base/drrss/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/repl.txt
new file mode 100644
index 000000000000..5c50b5768108
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/repl.txt
@@ -0,0 +1,112 @@
+
+{{alias}}( N, x, strideX, y, strideY )
+ Computes the square root of the residual sum of squares of two double-
+ precision floating-point strided arrays.
+
+ The `N` and stride parameters determine which elements in the strided arrays
+ 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 `0`.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ x: Float64Array
+ First input array.
+
+ strideX: integer
+ Stride length of `x`.
+
+ y: Float64Array
+ Second input array.
+
+ strideY: integer
+ Stride length of `y`.
+
+ Returns
+ -------
+ out: number
+ Square root of the residual sum of squares.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
+ > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0, -4.0 ] );
+ > {{alias}}( x.length, x, 1, y, 1 )
+ ~6.7
+
+ // Using `N` and `stride` parameters:
+ > x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, -7.0, -2.0 ] );
+ > y = new {{alias:@stdlib/array/float64}}( [ 2.0, 1.0, 2.0, 1.0, -2.0 ] );
+ > {{alias}}( 3, x, 2, y, 2 )
+ 1.0
+
+ // Using view offsets:
+ > var x0 = new {{alias:@stdlib/array/float64}}( [ 2.0, 1.0, 2.0, -2.0 ] );
+ > var y0 = new {{alias:@stdlib/array/float64}}( [ 8.0, -2.0, 3.0, -2.0 ] );
+ > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+ > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*1 );
+ > {{alias}}( 2, x1, 2, y1, 2 )
+ 3
+
+
+{{alias}}.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )
+ Computes the square root of the residual sum of squares of two double-
+ precision floating-point strided arrays using alternative indexing
+ semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ x: Float64Array
+ First input array.
+
+ strideX: integer
+ Stride length of `x`.
+
+ offsetX: integer
+ Starting index of `x`.
+
+ y: Float64Array
+ Second input array.
+
+ strideY: integer
+ Stride length of `y`.
+
+ offsetY: integer
+ Starting index of `y`.
+
+ Returns
+ -------
+ out: number
+ Square root of the residual sum of squares.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, -4.0, 5.0 ] );
+ > var y = new {{alias:@stdlib/array/float64}}( [ 5.0, 12.0, -8.0, 15.0 ] );
+ > {{alias}}.ndarray( x.length, x, 1, 0, y, 1, 0 )
+ ~18.11
+
+ // Using offset parameters:
+ > x = new {{alias:@stdlib/array/float64}}([ 2.0, 1.0, 2.0, -2.0 ]);
+ > y = new {{alias:@stdlib/array/float64}}([ 8.0, -2.0, 3.0, -2.0 ]);
+ > {{alias}}.ndarray( 2, x, 2, 1, y, 2, 1 )
+ 3
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/types/index.d.ts
new file mode 100644
index 000000000000..fbef70b0053f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/types/index.d.ts
@@ -0,0 +1,105 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 `drrss`.
+*/
+interface Routine {
+ /**
+ * Computes the square root of the residual sum of squares of two double-precision floating-point strided arrays.
+ *
+ * @param N - number of indexed elements
+ * @param x - first input array
+ * @param strideX - stride length of `x`
+ * @param y - second input array
+ * @param strideY - stride length of `y`
+ * @returns square root of the residual sum of squares
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
+ * var y = new Float64Array( [ 2.0, 1.0, 2.0, 1.0, -2.0, 2.0, 3.0, 4.0 ] );
+ *
+ * var z = drrss( x.length, x, 1, y, 1 );
+ * // returns ~8.485
+ */
+ ( N: number, x: Float64Array, strideX: number, y: Float64Array, strideY: number ): number;
+
+ /**
+ * Computes the square root of the residual sum of squares of two double-precision floating-point strided arrays using alternative indexing semantics.
+ *
+ * @param N - number of indexed elements
+ * @param x - first input array
+ * @param strideX - stride length of `x`
+ * @param offsetX - starting index of `x`
+ * @param y - second input array
+ * @param strideY - stride length of `y`
+ * @param offsetY - starting index of `y`
+ * @returns square root of the residual sum of squares
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
+ * var y = new Float64Array( [ 2.0, 1.0, 2.0, 1.0, -2.0, 2.0, 3.0, 4.0 ] );
+ *
+ * var z = drrss.ndarray( x.length, x, 1, 0, y, 1, 0 );
+ * // returns ~8.485
+ */
+ ndarray( N: number, x: Float64Array, strideX: number, offsetX: number, y: Float64Array, strideY: number, offsetY: number ): number;
+}
+
+/**
+* Compute the square root of the residual sum of squares of two double-precision floating-point strided arrays.
+*
+* @param N - number of indexed elements
+* @param x - first input array
+* @param strideX - stride length of `x`
+* @param y - second input array
+* @param strideY - stride length of `y`
+* @returns square root of the residual sum of squares
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var drrss = require( '@stdlib/blas/ext/base/drrss' );
+*
+* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
+* var y = new Float64Array( [ 1.0, 1.0, -4.0 ] );
+*
+* var out = drrss( x.length, x, 1, y, 1 );
+* // returns ~6.7
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var drrss = require( '@stdlib/blas/ext/base/drrss' );
+*
+* var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
+* var y = new Float64Array( [ 2.0, 1.0, 2.0, 1.0, -2.0, 2.0, 3.0, 4.0 ] );
+*
+* var z = drrss.ndarray( x.length, x, 1, 0, y, 1, 0 );
+* // returns ~8.485
+*/
+declare var drrss: Routine;
+
+
+// EXPORTS //
+
+export = drrss;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/types/test.ts
new file mode 100644
index 000000000000..1704c8c84d9a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/docs/types/test.ts
@@ -0,0 +1,245 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 drrss = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss( x.length, x, 1, y, 1 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss( '10', x, 1, y, 1 ); // $ExpectError
+ drrss( true, x, 1, y, 1 ); // $ExpectError
+ drrss( false, x, 1, y, 1 ); // $ExpectError
+ drrss( null, x, 1, y, 1 ); // $ExpectError
+ drrss( undefined, x, 1, y, 1 ); // $ExpectError
+ drrss( [], x, 1, y, 1 ); // $ExpectError
+ drrss( {}, x, 1, y, 1 ); // $ExpectError
+ drrss( ( x: number ): number => x, x, 1, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss( x.length, 10, 1, y, 1 ); // $ExpectError
+ drrss( x.length, '10', 1, y, 1 ); // $ExpectError
+ drrss( x.length, true, 1, y, 1 ); // $ExpectError
+ drrss( x.length, false, 1, y, 1 ); // $ExpectError
+ drrss( x.length, null, 1, y, 1 ); // $ExpectError
+ drrss( x.length, undefined, 1, y, 1 ); // $ExpectError
+ drrss( x.length, [], 1, y, 1 ); // $ExpectError
+ drrss( x.length, {}, 1, y, 1 ); // $ExpectError
+ drrss( x.length, ( x: number ): number => x, 1, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss( x.length, x, '10', y, 1 ); // $ExpectError
+ drrss( x.length, x, true, y, 1 ); // $ExpectError
+ drrss( x.length, x, false, y, 1 ); // $ExpectError
+ drrss( x.length, x, null, y, 1 ); // $ExpectError
+ drrss( x.length, x, undefined, y, 1 ); // $ExpectError
+ drrss( x.length, x, [], y, 1 ); // $ExpectError
+ drrss( x.length, x, {}, y, 1 ); // $ExpectError
+ drrss( x.length, x, ( x: number ): number => x, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+
+ drrss( x.length, x, 1, '10', 1 ); // $ExpectError
+ drrss( x.length, x, 1, true, 1 ); // $ExpectError
+ drrss( x.length, x, 1, false, 1 ); // $ExpectError
+ drrss( x.length, x, 1, null, 1 ); // $ExpectError
+ drrss( x.length, x, 1, undefined, 1 ); // $ExpectError
+ drrss( x.length, x, 1, [], 1 ); // $ExpectError
+ drrss( x.length, x, 1, {}, 1 ); // $ExpectError
+ drrss( x.length, x, 1, ( y: number ): number => y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss( x.length, x, 1, y, '10' ); // $ExpectError
+ drrss( x.length, x, 1, y, true ); // $ExpectError
+ drrss( x.length, x, 1, y, false ); // $ExpectError
+ drrss( x.length, x, 1, y, null ); // $ExpectError
+ drrss( x.length, x, 1, y, undefined ); // $ExpectError
+ drrss( x.length, x, 1, y, [] ); // $ExpectError
+ drrss( x.length, x, 1, y, {} ); // $ExpectError
+ drrss( x.length, x, 1, y, ( y: number ): number => y ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss(); // $ExpectError
+ drrss( x.length ); // $ExpectError
+ drrss( x.length, x ); // $ExpectError
+ drrss( x.length, x, 1, y ); // $ExpectError
+ drrss( x.length, x, 1, y, 1, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray( x.length, x, 1, 0, y, 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 Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray( '10', x, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( true, x, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( false, x, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( null, x, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( undefined, x, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( [], x, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( {}, x, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( ( x: number ): number => x, x, 1, 0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray( x.length, 10, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, '10', 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, true, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, false, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, null, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, undefined, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, [], 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, {}, 1, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, ( x: number ): number => x, 1, 0, y, 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 Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray( x.length, x, '10', 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, true, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, false, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, null, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, undefined, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, [], 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, {}, 0, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, ( x: number ): number => x, 0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray( x.length, x, 1, '10', y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, true, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, false, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, null, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, undefined, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, [], y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, {}, y, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, ( x: number ): number => x, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+
+ drrss.ndarray( x.length, x, 1, 0, 10, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, '10', 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, true, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, false, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, null, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, undefined, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, [], 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, {}, 1, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray( x.length, x, 1, 0, y, '10', 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, true, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, false, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, null, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, undefined, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, [], 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, {}, 0 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray( x.length, x, 1, 0, y, 1, '10' ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1, true ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1, false ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1, null ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1, undefined ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1, [] ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1, {} ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 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 Float64Array( 10 );
+ const y = new Float64Array( 20 );
+
+ drrss.ndarray(); // $ExpectError
+ drrss.ndarray( x.length ); // $ExpectError
+ drrss.ndarray( x.length, x ); // $ExpectError
+ drrss.ndarray( x.length, x, 1 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1 ); // $ExpectError
+ drrss.ndarray( x.length, x, 1, 0, y, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/c/Makefile
new file mode 100644
index 000000000000..25ced822f96a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2025 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# 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/blas/ext/base/drrss/examples/c/example.c b/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/c/example.c
new file mode 100644
index 000000000000..5b75a2e3649f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/c/example.c
@@ -0,0 +1,49 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/blas/ext/base/drrss.h"
+#include
+
+int main( void ) {
+ // Create two strided arrays:
+ const double x[] = { 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 };
+ const double y[] = { 5.0, 12.0, -8.0, 15.0, 9.0, 0.0 };
+
+ // Specify the number of elements:
+ const int N = 5;
+
+ // Specify the stride lengths:
+ const int strideX = 1;
+ const int strideY = 1;
+
+ // Compute the square root of the residual sum of squares of `x` and `y`:
+ double d = stdlib_strided_drrss( N, x, strideX, y, strideY );
+
+ // Print the result:
+ printf( "drrss: %lf\n", d );
+
+ // Specify index offsets:
+ const int offsetX = 1;
+ const int offsetY = 1;
+
+ // Compute the square root of the residual sum of squares of `x` and `y` with offsets:
+ d = stdlib_strided_drrss_ndarray( N, x, strideX, offsetX, y, strideY, offsetY );
+
+ // Print the result:
+ printf( "drrss: %lf\n", d );
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/index.js
new file mode 100644
index 000000000000..c60697e0b78a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/examples/index.js
@@ -0,0 +1,34 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var drrss = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = discreteUniform( 10, -50, 50, opts );
+console.log( x );
+
+var y = discreteUniform( 10, -50, 50, opts );
+console.log( y );
+
+var d = drrss( x.length, x, 1, y, 1 );
+console.log( d );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/include.gypi b/lib/node_modules/@stdlib/blas/ext/base/drrss/include.gypi
new file mode 100644
index 000000000000..ecfaf82a3279
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/include.gypi
@@ -0,0 +1,53 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2025 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# 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': [
+ ' tbig ) {
+ abig += abs2( az * sbig );
+ notbig = false;
+ } else if ( az < tsml ) {
+ if ( notbig ) {
+ asml += abs2( az * ssml );
+ }
+ } else {
+ amed += ( az * az );
+ }
+ ix += strideX;
+ iy += strideY;
+ }
+ // Combine `abig` and `amed` or `amed` and `asml` if more than one accumulator was used...
+ if ( abig > 0.0 ) {
+ // Combine `abig` and `amed` if `abig` > 0...
+ if ( amed > 0.0 || ( amed > FLOAT64_MAX ) || ( amed !== amed ) ) {
+ abig += ( ( amed * sbig ) * sbig );
+ }
+ scl = 1.0 / sbig;
+ sumsq = abig;
+ } else if ( asml > 0.0 ) {
+ // Combine `amed` and `asml` if `asml` > 0...
+ if ( amed > 0.0 || amed > FLOAT64_MAX || ( amed !== amed ) ) {
+ amed = sqrt( amed );
+ asml = sqrt( asml ) / ssml;
+ if ( asml > amed ) {
+ ymin = amed;
+ ymax = asml;
+ } else {
+ ymin = asml;
+ ymax = amed;
+ }
+ scl = 1.0;
+ sumsq = ( ymax * ymax ) * ( 1.0 + abs2( ymin / ymax ) );
+ } else {
+ scl = 1.0 / ssml;
+ sumsq = asml;
+ }
+ } else {
+ // All values are mid-range...
+ scl = 1.0;
+ sumsq = amed;
+ }
+ return sqrt( sumsq ) * scl;
+}
+
+
+// EXPORTS //
+
+module.exports = drrss;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/lib/ndarray.native.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/lib/ndarray.native.js
new file mode 100644
index 000000000000..dad44f2b3b42
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/lib/ndarray.native.js
@@ -0,0 +1,56 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 addon = require( './../src/addon.node' );
+
+
+// MAIN //
+
+/**
+* Computes the square root of the residual sum of squares of two double-precision floating-point strided arrays.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {Float64Array} x - first input array
+* @param {integer} strideX - stride length of `x`
+* @param {NonNegativeInteger} offsetX - starting index of `x`
+* @param {Float64Array} y - second input array
+* @param {integer} strideY - stride length of `y`
+* @param {NonNegativeInteger} offsetY - starting index of `y`
+* @returns {number} square root of the residual sum of squares
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
+* var y = new Float64Array( [ 2.0, 1.0, 2.0, 1.0, -2.0, 2.0, 3.0, 4.0 ] );
+*
+* var z = drrss( x.length, x, 1, 0, y, 1, 0 );
+* // returns ~8.485
+*/
+function drrss( N, x, strideX, offsetX, y, strideY, offsetY ) {
+ return addon.ndarray( N, x, strideX, offsetX, y, strideY, offsetY );
+}
+
+
+// EXPORTS //
+
+module.exports = drrss;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/manifest.json b/lib/node_modules/@stdlib/blas/ext/base/drrss/manifest.json
new file mode 100644
index 000000000000..a4a42d366f2d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/manifest.json
@@ -0,0 +1,115 @@
+{
+ "options": {
+ "task": "build",
+ "wasm": false
+ },
+ "fields": [
+ {
+ "field": "src",
+ "resolve": true,
+ "relative": true
+ },
+ {
+ "field": "include",
+ "resolve": true,
+ "relative": true
+ },
+ {
+ "field": "libraries",
+ "resolve": false,
+ "relative": false
+ },
+ {
+ "field": "libpath",
+ "resolve": true,
+ "relative": false
+ }
+ ],
+ "confs": [
+ {
+ "task": "build",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/special/abs2",
+ "@stdlib/math/base/special/abs",
+ "@stdlib/math/base/special/sqrt",
+ "@stdlib/constants/float64/max",
+ "@stdlib/napi/export",
+ "@stdlib/napi/argv",
+ "@stdlib/napi/argv-int64",
+ "@stdlib/napi/argv-strided-float64array",
+ "@stdlib/napi/create-double"
+ ]
+ },
+ {
+ "task": "benchmark",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/special/abs2",
+ "@stdlib/math/base/special/abs",
+ "@stdlib/math/base/special/sqrt",
+ "@stdlib/constants/float64/max"
+ ]
+ },
+ {
+ "task": "examples",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/special/abs2",
+ "@stdlib/math/base/special/abs",
+ "@stdlib/math/base/special/sqrt",
+ "@stdlib/constants/float64/max"
+ ]
+ },
+ {
+ "task": "",
+ "wasm": true,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/special/abs2",
+ "@stdlib/math/base/special/abs",
+ "@stdlib/math/base/special/sqrt",
+ "@stdlib/constants/float64/max"
+ ]
+ }
+ ]
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/package.json b/lib/node_modules/@stdlib/blas/ext/base/drrss/package.json
new file mode 100644
index 000000000000..d9735ac13d9c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/package.json
@@ -0,0 +1,81 @@
+{
+ "name": "@stdlib/blas/ext/base/drrss",
+ "version": "0.0.0",
+ "description": "Compute the square root of the residual sum of squares of two double-precision floating-point strided arrays.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "browser": "./lib/main.js",
+ "gypfile": true,
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "include": "./include",
+ "lib": "./lib",
+ "src": "./src",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "mathematics",
+ "math",
+ "blas",
+ "extended",
+ "square root",
+ "sqrt",
+ "residual",
+ "residuals",
+ "sum",
+ "squares",
+ "drrss",
+ "rrss",
+ "rss",
+ "strided",
+ "array",
+ "ndarray",
+ "float64",
+ "double",
+ "float64array"
+ ],
+ "__stdlib__": {
+ "wasm": false
+ }
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/src/Makefile b/lib/node_modules/@stdlib/blas/ext/base/drrss/src/Makefile
new file mode 100644
index 000000000000..7733b6180cb4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2025 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# 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/blas/ext/base/drrss/src/addon.c b/lib/node_modules/@stdlib/blas/ext/base/drrss/src/addon.c
new file mode 100644
index 000000000000..a9203a15084c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/src/addon.c
@@ -0,0 +1,66 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/blas/ext/base/drrss.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_float64array.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, 5 );
+ STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+ STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 3 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_drrss)( N, X, strideX, Y, strideY ), 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, 7 );
+ STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+ STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 5 );
+ STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
+ STDLIB_NAPI_ARGV_INT64( env, offsetY, argv, 6 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 4 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_drrss_ndarray)( N, X, strideX, offsetX, Y, strideY, offsetY ), v );
+ return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/src/main.c b/lib/node_modules/@stdlib/blas/ext/base/drrss/src/main.c
new file mode 100644
index 000000000000..45b19650492c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/src/main.c
@@ -0,0 +1,136 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/blas/ext/base/drrss.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/math/base/special/abs2.h"
+#include "stdlib/math/base/special/abs.h"
+#include "stdlib/math/base/special/sqrt.h"
+#include "stdlib/constants/float64/max.h"
+#include "stdlib/strided/base/stride2offset.h"
+#include
+
+// Blue's scaling constants...
+static const double tsml = 1.4916681462400413E-154;
+static const double tbig = 1.9979190722022350E+146;
+static const double ssml = 4.4989137945431964E+161;
+static const double sbig = 1.1113793747425387E-162;
+
+
+/**
+* Computes the square root of the residual sum of squares of two double-precision floating-point strided arrays.
+*
+* @param N number of indexed elements
+* @param X first input array
+* @param strideX stride length of `X`
+* @param Y second input array
+* @param strideY stride length of `Y`
+* @return output value
+*/
+double API_SUFFIX(stdlib_strided_drrss)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY ) {
+ const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+ const CBLAS_INT oy = stdlib_strided_stride2offset( N, strideY );
+ return API_SUFFIX(stdlib_strided_drrss_ndarray)( N, X, strideX, ox, Y, strideY, oy );
+}
+
+/**
+* Computes the square root of the residual sum of squares of two double-precision floating-point strided arrays using alternative indexing semantics.
+*
+* @param N number of indexed elements
+* @param X first input array
+* @param strideX stride length of `X`
+* @param offsetX starting index for X
+* @param Y second input array
+* @param strideY stride length of `Y`
+* @param offsetY starting index for Y
+* @return output value
+*/
+double API_SUFFIX(stdlib_strided_drrss_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const double *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY ) {
+ CBLAS_INT ix;
+ CBLAS_INT iy;
+ double sumsq;
+ bool notbig;
+ CBLAS_INT i;
+ double abig;
+ double amed;
+ double asml;
+ double ymax;
+ double ymin;
+ double scl;
+ double az;
+
+ if ( N <= 0 ) {
+ return 0.0;
+ }
+ ix = offsetX;
+ iy = offsetY;
+
+ // Compute the sum of squares using 3 accumulators--`abig` (sum of squares scaled down to avoid overflow), `asml` (sum of squares scaled up to avoid underflow), `amed` (sum of squares that do not require scaling)--and thresholds and multipliers--`tbig` (values bigger than this are scaled down by `sbig`) and `tsml` (values smaller than this are scaled up by `ssml`)...
+ notbig = true;
+ sumsq = 0.0;
+ abig = 0.0;
+ amed = 0.0;
+ asml = 0.0;
+ for ( i = 0; i < N; i++ ) {
+ az = stdlib_base_abs( X[ ix ] - Y[ iy ] );
+ if ( az > tbig ) {
+ abig += stdlib_base_abs2( az * sbig );
+ notbig = false;
+ } else if ( az < tsml ) {
+ if ( notbig ) {
+ asml += stdlib_base_abs2( az * ssml );
+ }
+ } else {
+ amed += stdlib_base_abs2( az );
+ }
+ ix += strideX;
+ iy += strideY;
+ }
+ // Combine `abig` and `amed` or `amed` and `asml` if more than one accumulator was used...
+ if ( abig > 0.0 ) {
+ // Combine `abig` and `amed` if `abig` > 0...
+ if ( amed > 0.0 || ( amed > STDLIB_CONSTANT_FLOAT64_MAX ) || ( amed != amed ) ) {
+ abig += ( amed * sbig ) * sbig;
+ }
+ scl = 1.0 / sbig;
+ sumsq = abig;
+ } else if ( asml > 0.0 ) {
+ // Combine `amed` and `asml` if `asml` > 0...
+ if ( amed > 0.0 || amed > STDLIB_CONSTANT_FLOAT64_MAX || ( amed != amed ) ) {
+ amed = stdlib_base_sqrt( amed );
+ asml = stdlib_base_sqrt( asml ) / ssml;
+ if ( asml > amed ) {
+ ymin = amed;
+ ymax = asml;
+ } else {
+ ymin = asml;
+ ymax = amed;
+ }
+ scl = 1.0;
+ sumsq = stdlib_base_abs2( ymax ) * ( 1.0 + stdlib_base_abs2( ymin / ymax ) );
+ } else {
+ scl = 1.0 / ssml;
+ sumsq = asml;
+ }
+ } else {
+ // All values are mid-range...
+ scl = 1.0;
+ sumsq = amed;
+ }
+ return stdlib_base_sqrt( sumsq ) * scl;
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.drrss.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.drrss.js
new file mode 100644
index 000000000000..d0d48f309977
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.drrss.js
@@ -0,0 +1,243 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 sqrt = require( '@stdlib/math/base/special/sqrt' );
+var Float64Array = require( '@stdlib/array/float64' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var drrss = require( './../lib/drrss.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Tests for element-wise approximate equality.
+*
+* @private
+* @param {Object} t - test object
+* @param {Collection} actual - actual values
+* @param {Collection} expected - expected values
+* @param {number} rtol - relative tolerance
+*/
+function isApprox( t, actual, expected, rtol ) {
+ var delta;
+ var tol;
+ var i;
+
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ for ( i = 0; i < expected.length; i++ ) {
+ if ( actual[ i ] === expected[ i ] ) {
+ t.strictEqual( actual[ i ], expected[ i ], 'returns expected value' );
+ } else {
+ delta = abs( actual[ i ] - expected[ i ] );
+ tol = rtol * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. actual: '+actual[ i ]+'. expected: '+expected[ i ]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof drrss, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 5', function test( t ) {
+ t.strictEqual( drrss.length, 5, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function calculates the square root of the residual sum of squares', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ y = new Float64Array( [ 5.0, 12.0, -8.0, 15.0, 9.0, 0.0 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, sqrt( 418.0 ), 'returns expected value' );
+
+ x = new Float64Array( [ -4.0 ] );
+ y = new Float64Array( [ 10.0 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, 14.0, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e150, 1.0e150, 1.0e150 ] );
+ y = new Float64Array( [ -1.0e150, 1.0e150, -1.0e150, -1.0e150 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, 3.464101615137754e+150, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e-155, 1.0e-155, 1.0e-155 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e-155, -1.0e-155, -1.0e-155 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, 4.0e-155, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e50, 1.0e150, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e150, -1.0e50, -1.0e150, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ isApprox( t, z, 2.82842712474619e+150, 1.0 );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e50, 1.0e-155, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e50, -1.0e-155, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ isApprox( t, z, 2.8284271247461905e+50, 1.0 );
+
+ x = new Float64Array( [ 1.4e-154, 1.5e-154, 1.4e-154, 0.0 ] );
+ y = new Float64Array( [ -1.4e-154, -1.5e-154, -1.4e-154, 0.0 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ isApprox( t, z, 4.967896939349689e-154, 1.0 );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `0`', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+ y = new Float64Array( [ 3.0, -2.0, 1.0, -15.0, 3.0 ] );
+
+ z = drrss( 0, x, 1, y, 1 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ z = drrss( -1, x, 1, y, 1 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports stride parameters', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 0
+ -2.0,
+ 3.0, // 1
+ -2.0,
+ 7.0, // 2
+ -2.0,
+ 0.0, // 3
+ -1.0
+ ]);
+
+ z = drrss( 4, x, 2, y, 2 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative stride parameters', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 3
+ -2.0,
+ 3.0, // 2
+ -2.0,
+ 7.0, // 1
+ -2.0,
+ 0.0, // 0
+ -1.0
+ ]);
+
+ z = drrss( 4, x, -2, y, -2 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports view offsets', function test( t ) {
+ var x0;
+ var x1;
+ var y0;
+ var y1;
+ var z;
+
+ x0 = new Float64Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0
+ ]);
+ y0 = new Float64Array([
+ 8.0,
+ -2.0, // 0
+ 3.0,
+ -2.0, // 1
+ 7.0,
+ -2.0, // 2
+ 0.0,
+ -1.0, // 3
+ 4.0
+ ]);
+ x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+ y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+ z = drrss( 4, x1, 2, y1, 2 );
+
+ // sqrt( 9+0+16+25 ) = sqrt( 50 )
+ t.strictEqual( z, 7.0710678118654755, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.drrss.native.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.drrss.native.js
new file mode 100644
index 000000000000..6912301fd9ee
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.drrss.native.js
@@ -0,0 +1,252 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 sqrt = require( '@stdlib/math/base/special/sqrt' );
+var Float64Array = require( '@stdlib/array/float64' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+
+
+// VARIABLES //
+
+var drrss = tryRequire( resolve( __dirname, './../lib/drrss.native.js' ) );
+var opts = {
+ 'skip': ( drrss instanceof Error )
+};
+
+
+// FUNCTIONS //
+
+/**
+* Tests for element-wise approximate equality.
+*
+* @private
+* @param {Object} t - test object
+* @param {Collection} actual - actual values
+* @param {Collection} expected - expected values
+* @param {number} rtol - relative tolerance
+*/
+function isApprox( t, actual, expected, rtol ) {
+ var delta;
+ var tol;
+ var i;
+
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ for ( i = 0; i < expected.length; i++ ) {
+ if ( actual[ i ] === expected[ i ] ) {
+ t.strictEqual( actual[ i ], expected[ i ], 'returns expected value' );
+ } else {
+ delta = abs( actual[ i ] - expected[ i ] );
+ tol = rtol * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. actual: '+actual[ i ]+'. expected: '+expected[ i ]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof drrss, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 5', opts, function test( t ) {
+ t.strictEqual( drrss.length, 5, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function calculates the square root of the residual sum of squares', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ y = new Float64Array( [ 5.0, 12.0, -8.0, 15.0, 9.0, 0.0 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, sqrt( 418.0 ), 'returns expected value' );
+
+ x = new Float64Array( [ -4.0 ] );
+ y = new Float64Array( [ 10.0 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, 14.0, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e150, 1.0e150, 1.0e150 ] );
+ y = new Float64Array( [ -1.0e150, 1.0e150, -1.0e150, -1.0e150 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, 3.464101615137754e+150, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e-155, 1.0e-155, 1.0e-155 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e-155, -1.0e-155, -1.0e-155 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ t.strictEqual( z, 4.0e-155, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e50, 1.0e150, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e150, -1.0e50, -1.0e150, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ isApprox( t, z, 2.82842712474619e+150, 1.0 );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e50, 1.0e-155, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e50, -1.0e-155, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ isApprox( t, z, 2.8284271247461905e+50, 1.0 );
+
+ x = new Float64Array( [ 1.4e-154, 1.5e-154, 1.4e-154, 0.0 ] );
+ y = new Float64Array( [ -1.4e-154, -1.5e-154, -1.4e-154, 0.0 ] );
+
+ z = drrss( x.length, x, 1, y, 1 );
+ isApprox( t, z, 4.967896939349689e-154, 1.0 );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `0`', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+ y = new Float64Array( [ 3.0, -2.0, 1.0, -15.0, 3.0 ] );
+
+ z = drrss( 0, x, 1, y, 1 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ z = drrss( -1, x, 1, y, 1 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports stride parameters', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 0
+ -2.0,
+ 3.0, // 1
+ -2.0,
+ 7.0, // 2
+ -2.0,
+ 0.0, // 3
+ -1.0
+ ]);
+
+ z = drrss( 4, x, 2, y, 2 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative stride parameters', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 3
+ -2.0,
+ 3.0, // 2
+ -2.0,
+ 7.0, // 1
+ -2.0,
+ 0.0, // 0
+ -1.0
+ ]);
+
+ z = drrss( 4, x, -2, y, -2 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports view offsets', opts, function test( t ) {
+ var x0;
+ var x1;
+ var y0;
+ var y1;
+ var z;
+
+ x0 = new Float64Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0
+ ]);
+ y0 = new Float64Array([
+ 8.0,
+ -2.0, // 0
+ 3.0,
+ -2.0, // 1
+ 7.0,
+ -2.0, // 2
+ 0.0,
+ -1.0, // 3
+ 4.0
+ ]);
+ x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+ y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+ z = drrss( 4, x1, 2, y1, 2 );
+
+ // sqrt( 9+0+16+25 ) = sqrt( 50 )
+ t.strictEqual( z, 7.0710678118654755, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.js
new file mode 100644
index 000000000000..43444a1a1295
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 drrss = 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 drrss, '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 drrss.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 drrss = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( drrss, 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 drrss;
+ var main;
+
+ main = require( './../lib/drrss.js' );
+
+ drrss = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( drrss, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.ndarray.js
new file mode 100644
index 000000000000..fa44d082680a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.ndarray.js
@@ -0,0 +1,239 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 sqrt = require( '@stdlib/math/base/special/sqrt' );
+var Float64Array = require( '@stdlib/array/float64' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var drrss = require( './../lib/ndarray.js' );
+
+
+// FUNCTIONS //
+
+/**
+* Tests for element-wise approximate equality.
+*
+* @private
+* @param {Object} t - test object
+* @param {Collection} actual - actual values
+* @param {Collection} expected - expected values
+* @param {number} rtol - relative tolerance
+*/
+function isApprox( t, actual, expected, rtol ) {
+ var delta;
+ var tol;
+ var i;
+
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ for ( i = 0; i < expected.length; i++ ) {
+ if ( actual[ i ] === expected[ i ] ) {
+ t.strictEqual( actual[ i ], expected[ i ], 'returns expected value' );
+ } else {
+ delta = abs( actual[ i ] - expected[ i ] );
+ tol = rtol * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. actual: '+actual[ i ]+'. expected: '+expected[ i ]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof drrss, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 7', function test( t ) {
+ t.strictEqual( drrss.length, 7, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function calculates the square root of the residual sum of squares of two vectors', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ y = new Float64Array( [ 5.0, 12.0, -8.0, 15.0, 9.0, 0.0 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, sqrt( 418.0 ), 'returns expected value' );
+
+ x = new Float64Array( [ -4.0 ] );
+ y = new Float64Array( [ 10.0 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 14.0, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e150, 1.0e150, 1.0e150 ] );
+ y = new Float64Array( [ -1.0e150, 1.0e150, -1.0e150, -1.0e150 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 3.464101615137754e+150, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e-155, 1.0e-155, 1.0e-155 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e-155, -1.0e-155, -1.0e-155 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 4.0e-155, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e50, 1.0e150, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e150, -1.0e50, -1.0e150, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ isApprox( t, z, 2.82842712474619e+150, 1.0 );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e50, 1.0e-155, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e50, -1.0e-155, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ isApprox( t, z, 2.8284271247461905e+50, 1.0 );
+
+ x = new Float64Array( [ 1.4e-154, 1.5e-154, 1.4e-154, 0.0 ] );
+ y = new Float64Array( [ -1.4e-154, -1.5e-154, -1.4e-154, 0.0 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ isApprox( t, z, 4.967896939349689e-154, 1.0 );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `0`', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+ y = new Float64Array( [ 3.0, -2.0, 1.0, -15.0, 3.0 ] );
+
+ z = drrss( 0, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ z = drrss( -1, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports stride parameters', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 0
+ -2.0,
+ 3.0, // 1
+ -2.0,
+ 7.0, // 2
+ -2.0,
+ 0.0, // 3
+ -1.0
+ ]);
+
+ z = drrss( 4, x, 2, 0, y, 2, 0 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative stride parameters', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 3
+ -2.0,
+ 3.0, // 2
+ -2.0,
+ 7.0, // 1
+ -2.0,
+ 0.0, // 0
+ -1.0
+ ]);
+
+ z = drrss( 4, x, -2, x.length-2, y, -2, y.length-2 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports offset parameters', function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0
+ ]);
+ y = new Float64Array([
+ 8.0,
+ -2.0, // 0
+ 3.0,
+ -2.0, // 1
+ 7.0,
+ -2.0, // 2
+ 0.0,
+ -1.0, // 3
+ 4.0
+ ]);
+
+ z = drrss( 4, x, 2, 1, y, 2, 1 );
+
+ // sqrt( 9+0+16+25 ) = sqrt( 50 )
+ t.strictEqual( z, 7.0710678118654755, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.ndarray.native.js b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.ndarray.native.js
new file mode 100644
index 000000000000..0cd8a47e44dd
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/drrss/test/test.ndarray.native.js
@@ -0,0 +1,248 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* 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 sqrt = require( '@stdlib/math/base/special/sqrt' );
+var Float64Array = require( '@stdlib/array/float64' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+
+
+// VARIABLES //
+
+var drrss = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
+var opts = {
+ 'skip': ( drrss instanceof Error )
+};
+
+
+// FUNCTIONS //
+
+/**
+* Tests for element-wise approximate equality.
+*
+* @private
+* @param {Object} t - test object
+* @param {Collection} actual - actual values
+* @param {Collection} expected - expected values
+* @param {number} rtol - relative tolerance
+*/
+function isApprox( t, actual, expected, rtol ) {
+ var delta;
+ var tol;
+ var i;
+
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ for ( i = 0; i < expected.length; i++ ) {
+ if ( actual[ i ] === expected[ i ] ) {
+ t.strictEqual( actual[ i ], expected[ i ], 'returns expected value' );
+ } else {
+ delta = abs( actual[ i ] - expected[ i ] );
+ tol = rtol * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. actual: '+actual[ i ]+'. expected: '+expected[ i ]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof drrss, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 7', opts, function test( t ) {
+ t.strictEqual( drrss.length, 7, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function calculates the square root of the residual sum of squares of two vectors', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ y = new Float64Array( [ 5.0, 12.0, -8.0, 15.0, 9.0, 0.0 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, sqrt( 418.0 ), 'returns expected value' );
+
+ x = new Float64Array( [ -4.0 ] );
+ y = new Float64Array( [ 10.0 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 14.0, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e150, 1.0e150, 1.0e150 ] );
+ y = new Float64Array( [ -1.0e150, 1.0e150, -1.0e150, -1.0e150 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 3.464101615137754e+150, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e-155, 1.0e-155, 1.0e-155 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e-155, -1.0e-155, -1.0e-155 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 4.0e-155, 'returns expected value' );
+
+ x = new Float64Array( [ 1.0e150, 1.0e50, 1.0e150, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e150, -1.0e50, -1.0e150, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ isApprox( t, z, 2.82842712474619e+150, 1.0 );
+
+ x = new Float64Array( [ 1.0e-155, 1.0e50, 1.0e-155, 1.0e50 ] );
+ y = new Float64Array( [ -1.0e-155, -1.0e50, -1.0e-155, -1.0e50 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ isApprox( t, z, 2.8284271247461905e+50, 1.0 );
+
+ x = new Float64Array( [ 1.4e-154, 1.5e-154, 1.4e-154, 0.0 ] );
+ y = new Float64Array( [ -1.4e-154, -1.5e-154, -1.4e-154, 0.0 ] );
+
+ z = drrss( x.length, x, 1, 0, y, 1, 0 );
+ isApprox( t, z, 4.967896939349689e-154, 1.0 );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `0`', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+ y = new Float64Array( [ 3.0, -2.0, 1.0, -15.0, 3.0 ] );
+
+ z = drrss( 0, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ z = drrss( -1, x, 1, 0, y, 1, 0 );
+ t.strictEqual( z, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports stride parameters', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 0
+ -2.0,
+ 3.0, // 1
+ -2.0,
+ 7.0, // 2
+ -2.0,
+ 0.0, // 3
+ -1.0
+ ]);
+
+ z = drrss( 4, x, 2, 0, y, 2, 0 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports negative stride parameters', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+ y = new Float64Array([
+ 8.0, // 3
+ -2.0,
+ 3.0, // 2
+ -2.0,
+ 7.0, // 1
+ -2.0,
+ 0.0, // 0
+ -1.0
+ ]);
+
+ z = drrss( 4, x, -2, x.length-2, y, -2, y.length-2 );
+
+ // sqrt( 49+1+81+16 ) = sqrt( 147 )
+ t.strictEqual( z, 12.12435565298214, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports offset parameters', opts, function test( t ) {
+ var x;
+ var y;
+ var z;
+
+ x = new Float64Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0
+ ]);
+ y = new Float64Array([
+ 8.0,
+ -2.0, // 0
+ 3.0,
+ -2.0, // 1
+ 7.0,
+ -2.0, // 2
+ 0.0,
+ -1.0, // 3
+ 4.0
+ ]);
+
+ z = drrss( 4, x, 2, 1, y, 2, 1 );
+
+ // sqrt( 9+0+16+25 ) = sqrt( 50 )
+ t.strictEqual( z, 7.0710678118654755, 'returns expected value' );
+ t.end();
+});