From 970da6f94a96fd92ae35c3a2fc10187691781de8 Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Sat, 22 Nov 2025 19:19:59 +0530
Subject: [PATCH 1/2] add stats base ndarray dcumaxabs

---
 .../stats/base/ndarray/dcumaxabs/README.md    | 126 ++++++++
 .../ndarray/dcumaxabs/benchmark/benchmark.js  | 108 +++++++
 .../base/ndarray/dcumaxabs/docs/repl.txt      |  37 +++
 .../ndarray/dcumaxabs/docs/types/index.d.ts   |  56 ++++
 .../base/ndarray/dcumaxabs/docs/types/test.ts |  63 ++++
 .../base/ndarray/dcumaxabs/examples/index.js  |  37 +++
 .../stats/base/ndarray/dcumaxabs/lib/index.js |  55 ++++
 .../stats/base/ndarray/dcumaxabs/lib/main.js  |  68 +++++
 .../stats/base/ndarray/dcumaxabs/package.json |  72 +++++
 .../stats/base/ndarray/dcumaxabs/test/test.js | 273 ++++++++++++++++++
 10 files changed, 895 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/README.md
new file mode 100644
index 000000000000..3cec66ea21f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/README.md
@@ -0,0 +1,126 @@
+<!--
+
+@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.
+
+-->
+
+# dcumaxabs
+
+> Compute the cumulative maximum absolute value of a one-dimensional double-precision floating-point ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dcumaxabs = require( '@stdlib/stats/base/ndarray/dcumaxabs' );
+```
+
+#### dcumaxabs( arrays )
+
+Computes the cumulative maximum absolute value of a one-dimensional double-precision floating-point ndarray.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = dcumaxabs( [ x, y ] );
+// returns <ndarray>
+
+var bool = ( v === y );
+// returns true
+
+var arr = ndarray2array( v );
+// returns [ 1.0, 3.0, 4.0, 4.0 ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing a one-dimensional input ndarray and a one-dimensional output ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty one-dimensional input ndarray, the function returns the output ndarray unchanged.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dcumaxabs = require( '@stdlib/stats/base/ndarray/dcumaxabs' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+    'dtype': 'float64'
+});
+var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var y = zerosLike( x );
+console.log( ndarray2array( y ) );
+
+var v = dcumaxabs( [ x, y ] );
+console.log( ndarray2array( v ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/benchmark/benchmark.js
new file mode 100644
index 000000000000..a5a9c8808ad7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/benchmark/benchmark.js
@@ -0,0 +1,108 @@
+/**
+* @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 zeros = require( '@stdlib/array/zeros' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var pkg = require( './../package.json' ).name;
+var dcumaxabs = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+
+	xbuf = uniform( len, -10.0, 10.0, options );
+	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	ybuf = zeros( len, options.dtype );
+	y = new ndarray( options.dtype, ybuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	return benchmark;
+
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = dcumaxabs( [ x, y ] );
+			if ( typeof v !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( v.get( i%len ) ) ) {
+			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/stats/base/ndarray/dcumaxabs/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/repl.txt
new file mode 100644
index 000000000000..9a84fd001e4e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/repl.txt
@@ -0,0 +1,37 @@
+
+{{alias}}( arrays )
+    Computes the cumulative maximum absolute value of a one-dimensional
+    double-precision floating-point ndarray.
+
+    If provided an empty input ndarray, the function returns the output ndarray
+    unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing a one-dimensional input ndarray and a one-
+        dimensional output ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
+    > var ybuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
+    > var dt = 'float64';
+    > var sh = [ xbuf.length ];
+    > var st = [ 1 ];
+    > var oo = 0;
+    > var ord = 'row-major';
+    > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
+    > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );
+    > {{alias}}( [ x, y ] );
+    > {{alias:@stdlib/ndarray/to-array}}( y )
+    [ 1.0, 2.0, 2.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/index.d.ts
new file mode 100644
index 000000000000..0a06aa4378dd
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/index.d.ts
@@ -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.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { float64ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the cumulative maximum absolute value of a one-dimensional double-precision floating-point ndarray.
+*
+* @param arrays - array-like object containing an input ndarray and an output ndarray
+* @returns output ndarray
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float64', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dcumaxabs( [ x, y ] );
+* // returns <ndarray>
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 3.0, 4.0, 4.0 ]
+*/
+declare function dcumaxabs( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dcumaxabs;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/test.ts
new file mode 100644
index 000000000000..af370ed75cdc
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/docs/types/test.ts
@@ -0,0 +1,63 @@
+/*
+* @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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import dcumaxabs = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+	const y = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+
+	dcumaxabs( [ x, y ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	dcumaxabs( '10' ); // $ExpectError
+	dcumaxabs( 10 ); // $ExpectError
+	dcumaxabs( true ); // $ExpectError
+	dcumaxabs( false ); // $ExpectError
+	dcumaxabs( null ); // $ExpectError
+	dcumaxabs( undefined ); // $ExpectError
+	dcumaxabs( [] ); // $ExpectError
+	dcumaxabs( {} ); // $ExpectError
+	dcumaxabs( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+	const y = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+
+	dcumaxabs(); // $ExpectError
+	dcumaxabs( [ x, y ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/examples/index.js
new file mode 100644
index 000000000000..4cd0626bb45a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/examples/index.js
@@ -0,0 +1,37 @@
+/**
+* @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 ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dcumaxabs = require( './../lib' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+	'dtype': 'float64'
+});
+var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var y = zerosLike( x );
+console.log( ndarray2array( y ) );
+
+var v = dcumaxabs( [ x, y ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/index.js
new file mode 100644
index 000000000000..ac4fadf3e8f4
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/index.js
@@ -0,0 +1,55 @@
+/**
+* @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';
+
+/**
+* Compute the cumulative maximum absolute value of a one-dimensional double-precision floating-point ndarray.
+*
+* @module @stdlib/stats/base/ndarray/dcumaxabs
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var dcumaxabs = require( '@stdlib/stats/base/ndarray/dcumaxabs' );
+*
+* var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dcumaxabs( [ x, y ] );
+* // returns <ndarray>
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 3.0, 4.0, 4.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/main.js
new file mode 100644
index 000000000000..945ac9323421
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/lib/main.js
@@ -0,0 +1,68 @@
+/**
+* @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 numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/stats/strided/dcumaxabs' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the cumulative maximum absolute value of a one-dimensional double-precision floating-point ndarray.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray and an output ndarray
+* @returns {ndarrayLike} output ndarray
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float64Array( [ 1.0, 3.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var ybuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+* var y = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dcumaxabs( [ x, y ] );
+* // returns <ndarray>
+*
+* var bool = ( v === y );
+* // returns true
+*
+* var arr = ndarray2array( v );
+* // returns [ 1.0, 3.0, 4.0, 4.0 ]
+*/
+function dcumaxabs( arrays ) {
+	var x = arrays[ 0 ];
+	var y = arrays[ 1 ];
+	strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ) ); // eslint-disable-line max-len
+	return y;
+}
+
+
+// EXPORTS //
+
+module.exports = dcumaxabs;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/package.json
new file mode 100644
index 000000000000..fdd72e42248c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/stats/base/ndarray/dcumaxabs",
+  "version": "0.0.0",
+  "description": "Compute the cumulative maximum absolute value of a one-dimensional double-precision floating-point ndarray.",
+  "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",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "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",
+    "statistics",
+    "stats",
+    "mathematics",
+    "math",
+    "cumulative",
+    "accumulate",
+    "maximum",
+    "max",
+    "abs",
+    "absolute",
+    "absolute value",
+    "range",
+    "extremes",
+    "domain",
+    "extent",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js
new file mode 100644
index 000000000000..a70c93e8c87e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js
@@ -0,0 +1,273 @@
+/**
+* @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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var zerosLike = require( '@stdlib/ndarray/zeros-like' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var dcumaxabs = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Float64Array} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dcumaxabs, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( dcumaxabs.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function calculates the cumulative maximum absolute value of a one-dimensional ndarray', function test( t ) {
+	var expected;
+	var xbuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float64Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+	x = vector( xbuf, 6, 1, 0 );
+	y = zerosLike( x );
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array( [ 1.0, 2.0, 4.0, 5.0, 5.0, 5.0 ] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float64Array( [ -4.0, -5.0 ] );
+	x = vector( xbuf, 2, 1, 0 );
+	y = zerosLike( x );
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array( [ 4.0, 5.0 ] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float64Array( [ -0.0, 0.0, -0.0 ] );
+	x = vector( xbuf, 3, 1, 0 );
+	y = zerosLike( x );
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float64Array( [ NaN ] );
+	x = vector( xbuf, 1, 1, 0 );
+	y = zerosLike( x );
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array( [ NaN ] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float64Array( [ NaN, NaN ] );
+	x = vector( xbuf, 2, 1, 0 );
+	y = zerosLike( x );
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array( [ NaN, NaN ] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an empty vector, the function returns the output array unchanged', function test( t ) {
+	var expected;
+	var xbuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float64Array( [] );
+	x = vector( xbuf, 0, 1, 0 );
+	y = zerosLike( x );
+
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array( [] );
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) {
+	var expected;
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float64Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+	x = vector( xbuf, 4, 2, 0 );
+
+	ybuf = new Float64Array([
+		0.0,  // 0
+		0.0,
+		0.0,  // 1
+		0.0,
+		0.0,  // 2
+		0.0,
+		0.0,  // 3
+		0.0
+	]);
+	y = vector( ybuf, 4, 2, 0 );
+
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array([
+		1.0,  // 0
+		0.0,
+		2.0,  // 1
+		0.0,
+		2.0,  // 2
+		0.0,
+		4.0,  // 3
+		0.0
+	]);
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) {
+	var expected;
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float64Array([
+		1.0,  // 2
+		-2.0,
+		3.0,  // 1
+		4.0,
+		-5.0  // 0
+	]);
+	x = vector( xbuf, 3, -2, 4 );
+
+	ybuf = new Float64Array([
+		0.0, // 2
+		0.0, // 1
+		0.0, // 0
+		0.0,
+		0.0
+	]);
+	y = vector( ybuf, 3, -1, 2 );
+
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array([
+		5.0,  // 2
+		5.0,  // 1
+		5.0, // 0
+		0.0,
+		0.0
+	]);
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+	var v;
+
+	xbuf = new Float64Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+	x = vector( xbuf, 4, 2, 1 );
+
+	ybuf = new Float64Array([
+		0.0,
+		0.0,
+		0.0,  // 0
+		0.0,  // 1
+		0.0,  // 2
+		0.0,  // 3
+		0.0,
+		0.0
+	]);
+	y = vector( ybuf, 4, 1, 2 );
+
+	v = dcumaxabs( [ x, y ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		1.0,  // 0
+		2.0,  // 1
+		2.0,  // 2
+		4.0,  // 3
+		0.0,
+		0.0
+	]);
+	t.strictEqual( v, y, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});

From ea2a13c5f2b40f0f88fd8324667cd77dfc55f21e Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 23 Nov 2025 23:04:48 -0800
Subject: [PATCH 2/2] style: fix comment alignment

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/stats/base/ndarray/dcumaxabs/test/test.js         | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js
index a70c93e8c87e..77b6d53fd9a9 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dcumaxabs/test/test.js
@@ -212,8 +212,8 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 	v = dcumaxabs( [ x, y ] );
 
 	expected = new Float64Array([
-		5.0,  // 2
-		5.0,  // 1
+		5.0, // 2
+		5.0, // 1
 		5.0, // 0
 		0.0,
 		0.0