From 8156dc14a12208537483372257930672aba0e6c3 Mon Sep 17 00:00:00 2001
From: Siddhram <siddharamsutar23@gmail.com>
Date: Sat, 7 Nov 2026 23:57:17 +0530
Subject: [PATCH 1/2] feat: add blas/ext/base/ndarray/dreplicate

---
 .../ext/base/ndarray/dreplicate/README.md     | 136 ++++++
 .../ndarray/dreplicate/benchmark/benchmark.js | 115 +++++
 .../ext/base/ndarray/dreplicate/docs/repl.txt |  37 ++
 .../ndarray/dreplicate/docs/types/index.d.ts  |  62 +++
 .../ndarray/dreplicate/docs/types/test.ts     |  71 +++
 .../base/ndarray/dreplicate/examples/index.js |  43 ++
 .../ext/base/ndarray/dreplicate/lib/index.js  |  56 +++
 .../ext/base/ndarray/dreplicate/lib/main.js   |  84 ++++
 .../ext/base/ndarray/dreplicate/package.json  |  72 +++
 .../ext/base/ndarray/dreplicate/test/test.js  | 434 ++++++++++++++++++
 10 files changed, 1110 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md
new file mode 100644
index 000000000000..54d5934793f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md
@@ -0,0 +1,136 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# dreplicate
+
+> Replicate each element in a one-dimensional double-precision floating-point ndarray a specified number of times.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dreplicate = require( '@stdlib/blas/ext/base/ndarray/dreplicate' );
+```
+
+#### dreplicate( arrays )
+
+Replicates each element in a one-dimensional double-precision floating-point ndarray a specified number of times.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+
+var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+var out = zeros( [ 6 ], {
+    'dtype': 'float64'
+});
+
+var k = scalar2ndarray( 2, {
+    'dtype': 'generic'
+});
+
+var v = dreplicate( [ x, out, k ] );
+// returns <ndarray>[ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ]
+
+var bool = ( v === out );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a one-dimensional output ndarray. Must have `N * k` elements, where `N` is the number of elements in the input ndarray, and `k` is the number of times to replicate each element.
+    -   a zero-dimensional ndarray specifying the number of times to replicate each element.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If the input ndarray is empty, or if `k` is less than or equal to zero, the function returns the output ndarray unchanged.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var dreplicate = require( '@stdlib/blas/ext/base/ndarray/dreplicate' );
+
+var opts = {
+    'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 5 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var k = scalar2ndarray( 3, {
+    'dtype': 'generic'
+});
+
+var out = zeros( [ 15 ], opts );
+console.log( ndarray2array( out ) );
+
+var v = dreplicate( [ x, out, k ] );
+console.log( ndarray2array( v ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js
new file mode 100644
index 000000000000..a61d3440f60e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js
@@ -0,0 +1,115 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dreplicate = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var out;
+	var x;
+	var k;
+
+	x = uniform( [ len ], 0.0, 100.0, options );
+	out = zeros( [ len*2 ], options );
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var o;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			o = dreplicate( [ x, out, k ] );
+			if ( typeof o !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( o.get( i%( len*2 ) ) ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt
new file mode 100644
index 000000000000..619b073fae47
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt
@@ -0,0 +1,37 @@
+
+{{alias}}( arrays )
+    Replicates each element in a one-dimensional double-precision floating-point
+    ndarray a specified number of times.
+
+    If the input ndarray is empty, or if `k` is less than or equal to zero, the
+    function returns the output ndarray unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a one-dimensional output ndarray. Must have `N * k` elements, where
+        `N` is the number of elements in the input ndarray, and `k` is the
+        number of times to replicate each element.
+        - a zero-dimensional ndarray specifying the number of times to replicate
+        each element.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/vector/float64}}( [ 1.0, 2.0, 3.0 ] );
+    > var opts = { 'dtype': 'float64' };
+    > var out = {{alias:@stdlib/ndarray/zeros}}( [ 6 ], opts );
+    > var k = {{alias:@stdlib/ndarray/from-scalar}}( 2, { 'dtype': 'generic' } );
+    > {{alias}}( [ x, out, k ] )
+    <ndarray>[ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts
new file mode 100644
index 000000000000..deb973869a33
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts
@@ -0,0 +1,62 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { float64ndarray, typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Replicates each element in a one-dimensional double-precision floating-point ndarray a specified number of times.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray. Must have `N * k` elements, where `N` is the number of elements in the input ndarray, and `k` is the number of times to replicate each element.
+*     -   a zero-dimensional ndarray specifying the number of times to replicate each element.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+* var out = zeros( [ 6 ], {
+*     'dtype': 'float64'
+* });
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = dreplicate( [ x, out, k ] );
+* // returns <ndarray>[ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ]
+*/
+declare function dreplicate( arrays: [ float64ndarray, float64ndarray, typedndarray<number> ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dreplicate;
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts
new file mode 100644
index 000000000000..4a2a827c0445
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts
@@ -0,0 +1,71 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import dreplicate = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 3 ], {
+		'dtype': 'float64'
+	});
+	const out = zeros( [ 6 ], {
+		'dtype': 'float64'
+	});
+	const k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	dreplicate( [ x, out, k ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	dreplicate( '10' ); // $ExpectError
+	dreplicate( 10 ); // $ExpectError
+	dreplicate( true ); // $ExpectError
+	dreplicate( false ); // $ExpectError
+	dreplicate( null ); // $ExpectError
+	dreplicate( undefined ); // $ExpectError
+	dreplicate( [] ); // $ExpectError
+	dreplicate( {} ); // $ExpectError
+	dreplicate( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 3 ], {
+		'dtype': 'float64'
+	});
+	const out = zeros( [ 6 ], {
+		'dtype': 'float64'
+	});
+	const k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	dreplicate(); // $ExpectError
+	dreplicate( [ x, out, k ], {} ); // $ExpectError
+}
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js
new file mode 100644
index 000000000000..e6d320a77321
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js
@@ -0,0 +1,43 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var dreplicate = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 5 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var k = scalar2ndarray( 3, {
+	'dtype': 'generic'
+});
+
+var out = zeros( [ 15 ], opts );
+console.log( ndarray2array( out ) );
+
+var v = dreplicate( [ x, out, k ] );
+console.log( ndarray2array( v ) );
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js
new file mode 100644
index 000000000000..912daa57d751
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js
@@ -0,0 +1,56 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Replicate each element in a one-dimensional double-precision floating-point ndarray a specified number of times.
+*
+* @module @stdlib/blas/ext/base/ndarray/dreplicate
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var dreplicate = require( '@stdlib/blas/ext/base/ndarray/dreplicate' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+* var out = zeros( [ 6 ], {
+*     'dtype': 'float64'
+* });
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = dreplicate( [ x, out, k ] );
+* // returns <ndarray>[ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js
new file mode 100644
index 000000000000..9daec824d7e4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js
@@ -0,0 +1,84 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/blas/ext/base/dreplicate' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Replicates each element in a one-dimensional double-precision floating-point ndarray a specified number of times.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray. Must have `N * k` elements, where `N` is the number of elements in the input ndarray, and `k` is the number of times to replicate each element.
+*     -   a zero-dimensional ndarray specifying the number of times to replicate each element.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} output ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+* var out = zeros( [ 6 ], {
+*     'dtype': 'float64'
+* });
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = dreplicate( [ x, out, k ] );
+* // returns <ndarray>[ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+function dreplicate( arrays ) {
+	var out;
+	var x;
+	var k;
+
+	x = arrays[ 0 ];
+	out = arrays[ 1 ];
+	k = ndarraylike2scalar( arrays[ 2 ] );
+
+	strided( numelDimension( x, 0 ), k, getData( x ), getStride( x, 0 ), getOffset( x ), getData( out ), getStride( out, 0 ), getOffset( out ) ); // eslint-disable-line max-len
+	return out;
+}
+
+
+// EXPORTS //
+
+module.exports = dreplicate;
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json
new file mode 100644
index 000000000000..9e1a25509ae1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/dreplicate",
+  "version": "0.0.0",
+  "description": "Replicate each element in a one-dimensional double-precision floating-point ndarray a specified number of times.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "mathematics",
+    "math",
+    "blas",
+    "extended",
+    "ext",
+    "dreplicate",
+    "replicate",
+    "repeat",
+    "copy",
+    "vector",
+    "strided",
+    "array",
+    "ndarray",
+    "float64",
+    "double"
+  ],
+  "__stdlib__": {}
+}
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js
new file mode 100644
index 000000000000..2fd507d78f5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js
@@ -0,0 +1,434 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var dreplicate = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Float64Array} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+/**
+* Returns a zero-dimensional ndarray.
+*
+* @private
+* @param {number} v - scalar value
+* @returns {ndarray} zero-dimensional ndarray
+*/
+function scalar( v ) {
+	return scalar2ndarray( v, {
+		'dtype': 'generic'
+	});
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dreplicate, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( dreplicate.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function replicates each strided array element', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	ybuf = new Float64Array( 6 );
+	x = vector( xbuf, 3, 1, 0 );
+	out = vector( ybuf, 6, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	ybuf = new Float64Array( 12 );
+	x = vector( xbuf, 4, 1, 0 );
+	out = vector( ybuf, 12, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 3 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function replicates each strided array element (k=1)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	ybuf = new Float64Array( 3 );
+	x = vector( xbuf, 3, 1, 0 );
+	out = vector( ybuf, 3, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 1 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function replicates each strided array element (N=1)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 5.0 ] );
+	ybuf = new Float64Array( 3 );
+	x = vector( xbuf, 1, 1, 0 );
+	out = vector( ybuf, 3, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 3 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 5.0, 5.0, 5.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns a reference to the output ndarray', function test( t ) {
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	ybuf = new Float64Array( 6 );
+	x = vector( xbuf, 3, 1, 0 );
+	out = vector( ybuf, 6, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if the input ndarray is empty, the function returns the output ndarray unchanged', function test( t ) {
+	var expected;
+	var actual;
+	var ybuf;
+	var out;
+	var x;
+
+	ybuf = new Float64Array( [ 6.0, 7.0, 8.0 ] );
+	x = vector( new Float64Array( 0 ), 0, 1, 0 );
+	out = vector( ybuf, 3, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 6.0, 7.0, 8.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a `k` parameter less than or equal to 0, the function returns the output ndarray unchanged', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	ybuf = new Float64Array( [ 6.0, 7.0, 8.0 ] );
+	x = vector( xbuf, 3, 1, 0 );
+	out = vector( ybuf, 3, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 0 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 6.0, 7.0, 8.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	actual = dreplicate( [ x, out, scalar( -1 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports input ndarrays having non-unit strides', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array([
+		1.0, // 0
+		99.0,
+		2.0, // 1
+		99.0,
+		3.0  // 2
+	]);
+	ybuf = new Float64Array( 6 );
+	x = vector( xbuf, 3, 2, 0 );
+	out = vector( ybuf, 6, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports output ndarrays having non-unit strides', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	ybuf = new Float64Array([
+		0.0, // 0
+		99.0,
+		0.0, // 1
+		99.0,
+		0.0, // 2
+		99.0,
+		0.0, // 3
+		99.0,
+		0.0, // 4
+		99.0,
+		0.0, // 5
+		99.0
+	]);
+	x = vector( xbuf, 3, 1, 0 );
+	out = vector( ybuf, 6, 2, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 99.0, 1.0, 99.0, 2.0, 99.0, 2.0, 99.0, 3.0, 99.0, 3.0, 99.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports negative strides', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array([
+		1.0, // 2
+		2.0, // 1
+		3.0  // 0
+	]);
+	ybuf = new Float64Array([
+		0.0, // 5
+		0.0, // 4
+		0.0, // 3
+		0.0, // 2
+		0.0, // 1
+		0.0  // 0
+	]);
+	x = vector( xbuf, 3, -1, 2 );
+	out = vector( ybuf, 6, -1, 5 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports input ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array([
+		99.0,
+		99.0,
+		1.0, // 0
+		2.0, // 1
+		3.0  // 2
+	]);
+	ybuf = new Float64Array( 6 );
+	x = vector( xbuf, 3, 1, 2 );
+	out = vector( ybuf, 6, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports output ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	ybuf = new Float64Array([
+		99.0,
+		99.0,
+		0.0, // 0
+		0.0, // 1
+		0.0, // 2
+		0.0, // 3
+		0.0, // 4
+		0.0  // 5
+	]);
+	x = vector( xbuf, 3, 1, 0 );
+	out = vector( ybuf, 6, 1, 2 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 99.0, 99.0, 1.0, 1.0, 2.0, 2.0, 3.0, 3.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports a zero input stride', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 5.0, 99.0 ] );
+	ybuf = new Float64Array( 6 );
+	x = vector( xbuf, 3, 0, 0 );
+	out = vector( ybuf, 6, 1, 0 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports complex access patterns', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array([
+		10.0,
+		1.0,  // 0
+		20.0,
+		2.0,  // 1
+		30.0,
+		3.0   // 2
+	]);
+	ybuf = new Float64Array([
+		0.0, // 5
+		0.0,
+		0.0, // 4
+		0.0,
+		0.0, // 3
+		0.0,
+		0.0, // 2
+		0.0,
+		0.0, // 1
+		0.0,
+		0.0, // 0
+		0.0
+	]);
+	x = vector( xbuf, 3, 2, 1 );
+	out = vector( ybuf, 6, -2, 10 );
+
+	actual = dreplicate( [ x, out, scalar( 2 ) ] );
+	t.strictEqual( actual, out, 'returns expected value' );
+
+	expected = new Float64Array( [ 3.0, 0.0, 3.0, 0.0, 2.0, 0.0, 2.0, 0.0, 1.0, 0.0, 1.0, 0.0 ] );
+	t.strictEqual( isSameFloat64Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+

From ff52dc32143da75e7d37cb7955d7f391e8cd1a31 Mon Sep 17 00:00:00 2001
From: Siddhram <siddharamsutar23@gmail.com>
Date: Sun, 8 Nov 2026 00:24:52 +0530
Subject: [PATCH 2/2] feat: add blas/ext/base/ndarray/dreplicate

---
 .../@stdlib/blas/ext/base/ndarray/dreplicate/README.md           | 1 -
 .../blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js      | 1 -
 .../@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt       | 1 -
 .../blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts       | 1 -
 .../@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts  | 1 -
 .../@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js   | 1 -
 .../@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js        | 1 -
 .../@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js         | 1 -
 .../@stdlib/blas/ext/base/ndarray/dreplicate/package.json        | 1 -
 .../@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js        | 1 -
 10 files changed, 10 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md
index 54d5934793f5..b6f80b3d7d4a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/README.md
@@ -133,4 +133,3 @@ console.log( ndarray2array( v ) );
 </section>
 
 <!-- /.links -->
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js
index a61d3440f60e..fe8dabc9d130 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/benchmark/benchmark.js
@@ -112,4 +112,3 @@ function main() {
 }
 
 main();
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt
index 619b073fae47..16245df46f79 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/repl.txt
@@ -34,4 +34,3 @@
 
     See Also
     --------
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts
index deb973869a33..f93dba820e63 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/index.d.ts
@@ -59,4 +59,3 @@ declare function dreplicate( arrays: [ float64ndarray, float64ndarray, typedndar
 // EXPORTS //
 
 export = dreplicate;
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts
index 4a2a827c0445..a805f06380d1 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/docs/types/test.ts
@@ -68,4 +68,3 @@ import dreplicate = require( './index' );
 	dreplicate(); // $ExpectError
 	dreplicate( [ x, out, k ], {} ); // $ExpectError
 }
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js
index e6d320a77321..41b9b68a12a9 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/examples/index.js
@@ -40,4 +40,3 @@ console.log( ndarray2array( out ) );
 
 var v = dreplicate( [ x, out, k ] );
 console.log( ndarray2array( v ) );
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js
index 912daa57d751..7bacdbba35d7 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/index.js
@@ -53,4 +53,3 @@ var main = require( './main.js' );
 // EXPORTS //
 
 module.exports = main;
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js
index 9daec824d7e4..4a79551daadd 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/lib/main.js
@@ -81,4 +81,3 @@ function dreplicate( arrays ) {
 // EXPORTS //
 
 module.exports = dreplicate;
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json
index 9e1a25509ae1..db0ee679cdbd 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/package.json
@@ -69,4 +69,3 @@
   ],
   "__stdlib__": {}
 }
-
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js
index 2fd507d78f5c..5d1aed9a521f 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dreplicate/test/test.js
@@ -431,4 +431,3 @@ tape( 'the function supports complex access patterns', function test( t ) {
 
 	t.end();
 });
-