From 94c049420b9ee17155360b121ad38fa4d56e828b Mon Sep 17 00:00:00 2001
From: kaushal-kumar-it <techs308@gmail.com>
Date: Mon, 5 Jan 2026 10:54:41 +0530
Subject: [PATCH 1/3] test: add tests for

---
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---
---
 .../base/unary-accumulate/test/test.js        | 722 +++++++++++++++++-
 1 file changed, 721 insertions(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
index 3fea05a50627..65466eac3418 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
@@ -21,9 +21,50 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Complex64Array = require( '@stdlib/array/complex64' );
 var accumulateUnary = require( './../lib' );
 
 
+// FUNCTIONS //
+
+/**
+* Adds two values.
+*
+* @private
+* @param {number} acc - accumulated value
+* @param {number} x - input value
+* @returns {number} sum
+*/
+function add( acc, x ) {
+	return acc + x;
+}
+
+/**
+* Multiplies two values.
+*
+* @private
+* @param {number} acc - accumulated value
+* @param {number} x - input value
+* @returns {number} product
+*/
+function multiply( acc, x ) {
+	return acc * x;
+}
+
+/**
+* Sums the real component of a complex number.
+*
+* @private
+* @param {number} acc - accumulated value
+* @param {Complex} x - input value
+* @returns {number} sum
+*/
+function sumReal( acc, x ) {
+	return acc + x.re;
+}
+
+
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
@@ -32,4 +73,683 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-// FIXME: add tests
+tape( 'the function performs a reduction over a 0-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 5.0 ] ),
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 5.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 1-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+		'shape': [ 4 ],
+		'strides': [ 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 10.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 1-dimensional ndarray (negative stride)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+		'shape': [ 4 ],
+		'strides': [ -1 ],
+		'offset': 3,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 10.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 1-dimensional ndarray (offset)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ),
+		'shape': [ 3 ],
+		'strides': [ 1 ],
+		'offset': 1,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 9.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 2-dimensional ndarray (row-major)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
+		'shape': [ 2, 3 ],
+		'strides': [ 3, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 21.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 2-dimensional ndarray (column-major)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
+		'shape': [ 2, 3 ],
+		'strides': [ 1, 2 ],
+		'offset': 0,
+		'order': 'column-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 21.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 3-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2, 2 ],
+		'strides': [ 4, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 4-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2, 1, 2 ],
+		'strides': [ 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 5-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 1, 2, 1, 2 ],
+		'strides': [ 4, 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 6-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 1, 1, 2, 1, 2 ],
+		'strides': [ 4, 4, 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 7-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 2, 1, 1, 2, 1, 2 ],
+		'strides': [ 8, 4, 4, 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 8-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 2, 1, 1, 2, 1, 2 ],
+		'strides': [ 8, 8, 4, 4, 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 9-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 2, 1, 1, 2, 1, 2 ],
+		'strides': [ 8, 8, 8, 4, 4, 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a 10-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 1, 2, 1, 1, 2, 1, 2 ],
+		'strides': [ 8, 8, 8, 8, 4, 4, 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over an ndarray with more than 10 dimensions', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2 ],
+		'strides': [ 8, 8, 8, 8, 8, 4, 4, 4, 2, 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over a non-contiguous ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 3, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 12.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over an ndarray with mixed sign strides', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
+		'shape': [ 2, 3 ],
+		'strides': [ -3, 1 ],
+		'offset': 3,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 21.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function performs a reduction over an ndarray with only one non-singleton dimension', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+		'shape': [ 4, 1, 1 ],
+		'strides': [ 1, 4, 4 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, 10.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns `undefined` if provided an empty ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [] ),
+		'shape': [ 0 ],
+		'strides': [ 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, void 0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns `undefined` if provided a multi-dimensional empty ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [] ),
+		'shape': [ 2, 0, 3 ],
+		'strides': [ 0, 3, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 0.0, add );
+	t.strictEqual( v, void 0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports different initial values', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+		'shape': [ 4 ],
+		'strides': [ 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 100.0, add );
+	t.strictEqual( v, 110.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports different accumulation callbacks', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 2.0, 3.0, 4.0 ] ),
+		'shape': [ 3 ],
+		'strides': [ 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	v = accumulateUnary( [ x ], 1.0, multiply );
+	t.strictEqual( v, 24.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (0d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0 ] ),
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (1d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
+		'shape': [ 3 ],
+		'strides': [ 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 9.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (2d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (3d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2, 1 ],
+		'strides': [ 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (4d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 2, 2, 1 ],
+		'strides': [ 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (5d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 2, 2, 1 ],
+		'strides': [ 4, 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (6d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 2, 2, 1 ],
+		'strides': [ 4, 4, 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (7d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 1, 2, 2, 1 ],
+		'strides': [ 4, 4, 4, 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (8d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 1, 1, 2, 2, 1 ],
+		'strides': [ 4, 4, 4, 4, 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (9d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 1, 1, 1, 2, 2, 1 ],
+		'strides': [ 4, 4, 4, 4, 4, 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (10d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1 ],
+		'strides': [ 4, 4, 4, 4, 4, 4, 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (>10d)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1 ],
+		'strides': [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (non-contiguous)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 3, 1 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 20.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (mixed sign strides)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ),
+		'shape': [ 2, 3 ],
+		'strides': [ -3, 1 ],
+		'offset': 3,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 36.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays with accessor protocol (only one non-singleton dimension)', function test( t ) {
+	var x;
+	var v;
+
+	x = {
+		'dtype': 'complex64',
+		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 4, 1, 1 ],
+		'strides': [ 1, 4, 4 ],
+		'offset': 0,
+		'order': 'row-major',
+		'accessorProtocol': true
+	};
+
+	v = accumulateUnary( [ x ], 0.0, sumReal );
+	t.strictEqual( v, 16.0, 'returns expected value' );
+	t.end();
+});

From f16b8cb344a5c80e41ee931bce9b25c991dbdaaf Mon Sep 17 00:00:00 2001
From: kaushal-kumar-it <techs308@gmail.com>
Date: Tue, 6 Jan 2026 10:57:48 +0530
Subject: [PATCH 2/3] test: add comprehensive dimension-specific tests for
 `ndarray/base/unary-accumulate`

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../base/unary-accumulate/test/test.0d.js     |  111 ++
 .../base/unary-accumulate/test/test.10d.js    |  243 ++++
 .../base/unary-accumulate/test/test.1d.js     |   84 ++
 .../base/unary-accumulate/test/test.2d.js     | 1005 +++++++++++++++++
 .../base/unary-accumulate/test/test.3d.js     |  346 ++++++
 .../base/unary-accumulate/test/test.4d.js     |  243 ++++
 .../base/unary-accumulate/test/test.5d.js     |  243 ++++
 .../base/unary-accumulate/test/test.6d.js     |  243 ++++
 .../base/unary-accumulate/test/test.7d.js     |  243 ++++
 .../base/unary-accumulate/test/test.8d.js     |  243 ++++
 .../base/unary-accumulate/test/test.9d.js     |  243 ++++
 .../base/unary-accumulate/test/test.js        |  722 ------------
 .../base/unary-accumulate/test/test.nd.js     |  176 +++
 13 files changed, 3423 insertions(+), 722 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js
new file mode 100644
index 000000000000..9fc8a43ca038
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js
@@ -0,0 +1,111 @@
+/**
+* @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 Float64Array = require( '@stdlib/array/float64' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 0-dimensional ndarray', function test( t ) {
+	var actual;
+	var x;
+
+	x = scalar2ndarray( 0.0, {
+		'dtype': 'float64'
+	});
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = scalar2ndarray( 5.0, {
+		'dtype': 'float64'
+	});
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 5.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 0-dimensional ndarray (accessors)', function test( t ) {
+	var actual;
+	var x;
+
+	x = ndarray( 'generic', toAccessorArray( new Float64Array( [ 0.0 ] ) ), [], [ 0 ], 0, 'row-major' );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( 'generic', toAccessorArray( new Float64Array( [ 5.0 ] ) ), [], [ 0 ], 0, 'row-major' );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 5.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 0-dimensional ndarray (complex)', function test( t ) {
+	var actual;
+	var x;
+
+	x = scalar2ndarray( new Complex128( 0.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = scalar2ndarray( new Complex128( 3.0, 4.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 7.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.js
new file mode 100644
index 000000000000..133912bdc536
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 10-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 10-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 10-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 1024.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 10-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 2048.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 10-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 1024.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 10-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 2048.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js
new file mode 100644
index 000000000000..006eda7b622c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js
@@ -0,0 +1,84 @@
+/**
+* @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 ones = require( '@stdlib/array/ones' );
+var zeros = require( '@stdlib/array/zeros' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 1-dimensional ndarray', function test( t ) {
+	var actual;
+	var x;
+
+	x = ndarray( 'float64', zeros( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( 'float64', ones( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 1-dimensional ndarray (accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var x;
+
+	xbuf = zeros( 6*2, 'float64' );
+	x = ndarray( 'complex128', new Complex128Array( xbuf ), [ 4 ], [ 1 ], 1, 'row-major' );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( 6*2, 'float64' );
+	x = ndarray( 'complex128', new Complex128Array( xbuf ), [ 4 ], [ 1 ], 1, 'row-major' );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js
new file mode 100644
index 000000000000..9f58acad42ca
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js
@@ -0,0 +1,1005 @@
+/**
+* @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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, contiguous, negative strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*4, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*4, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 2 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -2 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*8, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*8, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, contiguous, negative strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -2, bsize*4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*4, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*4, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 2, 4 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( 16, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -2, bsize*4 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*8, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 2-dimensional ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*4, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*8, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js
new file mode 100644
index 000000000000..4805b17fd47c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js
@@ -0,0 +1,346 @@
+/**
+* @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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize, 2, 2 ];
+	st = [ 8, 4, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, bsize*4, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 16.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (column-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (column-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 3-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 16.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.js
new file mode 100644
index 000000000000..3258c5a73a3e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 4-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 4-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 4-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 16.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 4-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 32.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 4-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 16.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 4-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 32.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.js
new file mode 100644
index 000000000000..62b3eb6c1d48
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 5-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 5-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 5-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 32.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 5-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 64.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 5-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 32.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 5-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 64.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.js
new file mode 100644
index 000000000000..f5e091e65b48
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 6-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 6-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 6-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 64.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 6-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 128.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 6-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 64.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 6-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 128.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.js
new file mode 100644
index 000000000000..75f828f9a274
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 7-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 7-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 7-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 128.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 7-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 256.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 7-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 128.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 7-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 256.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.js
new file mode 100644
index 000000000000..b8c1aab39a26
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 8-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 8-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 8-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 256.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 8-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 512.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 8-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 256.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 8-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 512.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.js
new file mode 100644
index 000000000000..ecdf95691b57
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on a 9-dimensional ndarray (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 4.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 9-dimensional ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 9-dimensional ndarray (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 512.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 9-dimensional ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 1024.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on a 9-dimensional ndarray (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 512.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on a 9-dimensional ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 1024.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
index 65466eac3418..1e8a7d609926 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
@@ -21,50 +21,9 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Complex64Array = require( '@stdlib/array/complex64' );
 var accumulateUnary = require( './../lib' );
 
 
-// FUNCTIONS //
-
-/**
-* Adds two values.
-*
-* @private
-* @param {number} acc - accumulated value
-* @param {number} x - input value
-* @returns {number} sum
-*/
-function add( acc, x ) {
-	return acc + x;
-}
-
-/**
-* Multiplies two values.
-*
-* @private
-* @param {number} acc - accumulated value
-* @param {number} x - input value
-* @returns {number} product
-*/
-function multiply( acc, x ) {
-	return acc * x;
-}
-
-/**
-* Sums the real component of a complex number.
-*
-* @private
-* @param {number} acc - accumulated value
-* @param {Complex} x - input value
-* @returns {number} sum
-*/
-function sumReal( acc, x ) {
-	return acc + x.re;
-}
-
-
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
@@ -72,684 +31,3 @@ tape( 'main export is a function', function test( t ) {
 	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
 	t.end();
 });
-
-tape( 'the function performs a reduction over a 0-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 5.0 ] ),
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 5.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 1-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-		'shape': [ 4 ],
-		'strides': [ 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 10.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 1-dimensional ndarray (negative stride)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-		'shape': [ 4 ],
-		'strides': [ -1 ],
-		'offset': 3,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 10.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 1-dimensional ndarray (offset)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ),
-		'shape': [ 3 ],
-		'strides': [ 1 ],
-		'offset': 1,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 9.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 2-dimensional ndarray (row-major)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
-		'shape': [ 2, 3 ],
-		'strides': [ 3, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 21.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 2-dimensional ndarray (column-major)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
-		'shape': [ 2, 3 ],
-		'strides': [ 1, 2 ],
-		'offset': 0,
-		'order': 'column-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 21.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 3-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2, 2 ],
-		'strides': [ 4, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 4-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2, 1, 2 ],
-		'strides': [ 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 5-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 1, 2, 1, 2 ],
-		'strides': [ 4, 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 6-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 1, 1, 2, 1, 2 ],
-		'strides': [ 4, 4, 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 7-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 2, 1, 1, 2, 1, 2 ],
-		'strides': [ 8, 4, 4, 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 8-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 2, 1, 1, 2, 1, 2 ],
-		'strides': [ 8, 8, 4, 4, 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 9-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 2, 1, 1, 2, 1, 2 ],
-		'strides': [ 8, 8, 8, 4, 4, 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a 10-dimensional ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 1, 2, 1, 1, 2, 1, 2 ],
-		'strides': [ 8, 8, 8, 8, 4, 4, 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over an ndarray with more than 10 dimensions', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2 ],
-		'strides': [ 8, 8, 8, 8, 8, 4, 4, 4, 2, 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over a non-contiguous ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 3, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 12.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over an ndarray with mixed sign strides', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
-		'shape': [ 2, 3 ],
-		'strides': [ -3, 1 ],
-		'offset': 3,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 21.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function performs a reduction over an ndarray with only one non-singleton dimension', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-		'shape': [ 4, 1, 1 ],
-		'strides': [ 1, 4, 4 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, 10.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function returns `undefined` if provided an empty ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [] ),
-		'shape': [ 0 ],
-		'strides': [ 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, void 0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function returns `undefined` if provided a multi-dimensional empty ndarray', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [] ),
-		'shape': [ 2, 0, 3 ],
-		'strides': [ 0, 3, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 0.0, add );
-	t.strictEqual( v, void 0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports different initial values', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-		'shape': [ 4 ],
-		'strides': [ 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 100.0, add );
-	t.strictEqual( v, 110.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports different accumulation callbacks', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 2.0, 3.0, 4.0 ] ),
-		'shape': [ 3 ],
-		'strides': [ 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	v = accumulateUnary( [ x ], 1.0, multiply );
-	t.strictEqual( v, 24.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (0d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0 ] ),
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 1.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (1d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ),
-		'shape': [ 3 ],
-		'strides': [ 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 9.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (2d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (3d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2, 1 ],
-		'strides': [ 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (4d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 2, 2, 1 ],
-		'strides': [ 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (5d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 2, 2, 1 ],
-		'strides': [ 4, 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (6d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 2, 2, 1 ],
-		'strides': [ 4, 4, 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (7d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 1, 2, 2, 1 ],
-		'strides': [ 4, 4, 4, 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (8d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 1, 1, 2, 2, 1 ],
-		'strides': [ 4, 4, 4, 4, 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (9d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 1, 1, 1, 2, 2, 1 ],
-		'strides': [ 4, 4, 4, 4, 4, 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (10d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 1, 1, 1, 1, 2, 2, 1 ],
-		'strides': [ 4, 4, 4, 4, 4, 4, 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (>10d)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1 ],
-		'strides': [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (non-contiguous)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 3, 1 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 20.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (mixed sign strides)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ),
-		'shape': [ 2, 3 ],
-		'strides': [ -3, 1 ],
-		'offset': 3,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 36.0, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function supports ndarrays with accessor protocol (only one non-singleton dimension)', function test( t ) {
-	var x;
-	var v;
-
-	x = {
-		'dtype': 'complex64',
-		'data': new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 4, 1, 1 ],
-		'strides': [ 1, 4, 4 ],
-		'offset': 0,
-		'order': 'row-major',
-		'accessorProtocol': true
-	};
-
-	v = accumulateUnary( [ x ], 0.0, sumReal );
-	t.strictEqual( v, 16.0, 'returns expected value' );
-	t.end();
-});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js
new file mode 100644
index 000000000000..07fecde64993
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js
@@ -0,0 +1,176 @@
+/**
+* @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 zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var real = require( '@stdlib/complex/float64/real' );
+var imag = require( '@stdlib/complex/float64/imag' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var accumulateUnary = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof accumulateUnary, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function performs accumulation on an ndarray with more than 10 dimensions (row-major)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on an ndarray with more than 10 dimensions (row-major, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 16.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});
+
+tape( 'the function performs accumulation on an ndarray with more than 10 dimensions (column-major)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 8.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + v;
+	}
+});
+
+tape( 'the function performs accumulation on an ndarray with more than 10 dimensions (column-major, accessors)', function test( t ) {
+	var actual;
+	var xbuf;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	xbuf = zeros( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 0.0, 'returns expected value' );
+
+	xbuf = ones( numel( sh )*2, 'float64' );
+	x = ndarray( dt, new Complex128Array( xbuf ), sh, st, o, ord );
+
+	actual = accumulateUnary( [ x ], 0.0, clbk );
+	t.strictEqual( actual, 16.0, 'returns expected value' );
+
+	t.end();
+
+	function clbk( acc, v ) {
+		return acc + real( v ) + imag( v );
+	}
+});

From 2677e2299e258c66f9488f365398b5a580bbd3ec Mon Sep 17 00:00:00 2001
From: kaushal-kumar-it <techs308@gmail.com>
Date: Tue, 6 Jan 2026 11:03:47 +0530
Subject: [PATCH 3/3] test: update copyright year to 2026 in  tests

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/ndarray/base/unary-accumulate/test/test.0d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.10d.js      | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.1d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.2d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.3d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.4d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.5d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.6d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.7d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.8d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.9d.js       | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.js          | 2 +-
 .../@stdlib/ndarray/base/unary-accumulate/test/test.nd.js       | 2 +-
 13 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js
index 9fc8a43ca038..d198042a8869 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.0d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.js
index 133912bdc536..736f3d8dc2ee 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.10d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js
index 006eda7b622c..2edd1b8689cd 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.1d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js
index 9f58acad42ca..4478a85701d9 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.2d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js
index 4805b17fd47c..32d478bb3d85 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.3d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.js
index 3258c5a73a3e..0c6946933c41 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.4d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.js
index 62b3eb6c1d48..04d7f2284d8b 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.5d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.js
index f5e091e65b48..87afdf46a481 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.6d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.js
index 75f828f9a274..c29a3ba8f480 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.7d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.js
index b8c1aab39a26..69cb7474b8d5 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.8d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.js
index ecdf95691b57..dd7f8d30b1cf 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.9d.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
index 1e8a7d609926..6e1508a997db 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
diff --git a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js
index 07fecde64993..90cfecde9397 100644
--- a/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js
+++ b/lib/node_modules/@stdlib/ndarray/base/unary-accumulate/test/test.nd.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2025 The Stdlib Authors.
+* Copyright (c) 2026 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.