diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/README.md b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/README.md
new file mode 100644
index 000000000000..2475084b277a
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/README.md
@@ -0,0 +1,155 @@
+
+
+# rfftf
+
+> Compute the forward discrete Fourier transform (DFT) of a real-valued one-dimensional ndarray.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var rfftf = require( '@stdlib/fft/base/fftpack/ndarray/generic/rfftf' );
+```
+
+#### rfftf( arrays )
+
+Computes the forward discrete Fourier transform (DFT) of a real-valued one-dimensional ndarray.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var rffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/rffti' );
+
+var N = 4;
+var len = scalar2ndarray( N, {
+ 'dtype': 'int32'
+});
+
+var w = new Float64Vector( ( 2*N ) + 34 );
+rffti( [ w, len ] );
+
+var r = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+var out = rfftf( [ r, w ] );
+// returns [ 10.0, -2.0, 2.0, -2.0 ]
+
+var bool = ( out === r );
+// returns true
+```
+
+The function has the following parameters:
+
+- **arrays**: array-like object containing the following ndarrays:
+
+ - a one-dimensional input ndarray.
+ - a one-dimensional workspace ndarray containing pre-computed values.
+
+
+
+
+
+
+
+## Notes
+
+- Before calling this function, initialize the workspace ndarray by calling [`rffti`][@stdlib/fft/base/fftpack/ndarray/generic/rffti] with the same sequence length and workspace layout.
+
+- The function performs the transform in-place (i.e., the input ndarray is **mutated**).
+
+- For `N = 4`, the output
+
+ ```text
+ [ 10.0, -2.0, 2.0, -2.0 ]
+ ```
+
+ corresponds to a zero-frequency term `10.0`, a complex coefficient `-2.0 + 2.0i` at frequency `1`, and a Nyquist term `-2.0`.
+
+- If `N` equals `1`, the function returns early without modifying the input, as a single data point is its own Fourier transform.
+
+- This transform is unnormalized as a call to this function followed by a call performing a [backward transform][@stdlib/fft/base/fftpack/ndarray/generic/rfftb] will multiply the input ndarray by `N`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var rffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/rffti' );
+var rfftf = require( '@stdlib/fft/base/fftpack/ndarray/generic/rfftf' );
+
+var N = 4;
+var r = discreteUniform( [ N ], -10, 10, {
+ 'dtype': 'generic'
+});
+var w = zeros( [ ( 2*N ) + 34 ], {
+ 'dtype': 'generic'
+});
+var len = scalar2ndarray( N, {
+ 'dtype': 'int32'
+});
+
+console.log( ndarray2array( r ) );
+
+rffti( [ w, len ] );
+var out = rfftf( [ r, w ] );
+
+console.log( ndarray2array( out ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@stdlib/fft/base/fftpack/ndarray/generic/rffti]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/fft/base/fftpack/ndarray/generic/rffti
+
+[@stdlib/fft/base/fftpack/ndarray/generic/rfftb]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/fft/base/fftpack/ndarray/generic/rfftb
+
+
+
+
diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/benchmark/benchmark.js b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/benchmark/benchmark.js
new file mode 100644
index 000000000000..28f134fb3d23
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/benchmark/benchmark.js
@@ -0,0 +1,144 @@
+/**
+* @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 floor = require( '@stdlib/math/base/special/floor' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var copy = require( '@stdlib/ndarray/copy' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var rffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/rffti' );
+var pkg = require( './../package.json' ).name;
+var rfftf = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+var nopts = {
+ 'dtype': 'int32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} iter - number of iterations
+* @param {PositiveInteger} N - sequence length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( iter, N ) {
+ var len;
+ var x;
+ var w;
+ var i;
+
+ x = [];
+ for ( i = 0; i < iter; i++ ) {
+ x.push( uniform( [ N ], -100.0, 100.0, options ) );
+ }
+ len = scalar2ndarray( N, nopts );
+ w = zeros( [ ( 2*N ) + 34 ], options );
+ rffti( [ w, len ] );
+
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var xc;
+ var v;
+ var i;
+
+ xc = [];
+ for ( i = 0; i < iter; i++ ) {
+ xc.push( copy( x[ i ] ) );
+ }
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = rfftf( [ xc[ i ], w ] );
+ if ( typeof v !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( isnan( v.get( i%N ) ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var lengths;
+ var opts;
+ var iter;
+ var N;
+ var f;
+ var i;
+
+ lengths = [
+ 8,
+ 16,
+ 32,
+ 64,
+ 128,
+ 256,
+ 512,
+ 1024
+ ];
+
+ iter = 1e6;
+
+ for ( i = 0; i < lengths.length; i++ ) {
+ N = lengths[ i ];
+ f = createBenchmark( iter, N );
+ opts = {
+ 'iterations': iter
+ };
+ bench( format( '%s:N=%d', pkg, N ), opts, f );
+ iter = floor( pow( iter, 3.0/4.0 ) );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/repl.txt b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/repl.txt
new file mode 100644
index 000000000000..eb76321f5f95
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/repl.txt
@@ -0,0 +1,42 @@
+
+{{alias}}( arrays )
+ Computes the forward discrete Fourier transform (DFT) of a real-valued
+ one-dimensional ndarray.
+
+ Before calling this function, one must first initialize the workspace
+ ndarray using the corresponding initialization function with the same
+ sequence length and workspace layout.
+
+ This transform is unnormalized as a call to this function followed by a
+ call performing a backward transform will multiply the input ndarray by the
+ sequence length.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ Array-like object containing the following ndarrays:
+
+ - a one-dimensional input ndarray.
+ - a one-dimensional workspace ndarray containing pre-computed values.
+
+ Returns
+ -------
+ out: ndarray
+ Input ndarray.
+
+ Examples
+ --------
+ > var N = 4;
+ > var opts = { 'dtype': 'int32' };
+ > var len = {{alias:@stdlib/ndarray/from-scalar}}( N, opts );
+ > var w = new {{alias:@stdlib/ndarray/vector/float64}}( ( 2*N ) + 34 );
+ > {{alias:@stdlib/fft/base/fftpack/ndarray/generic/rffti}}( [ w, len ] );
+ > var r = new {{alias:@stdlib/ndarray/vector/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > var out = {{alias}}( [ r, w ] )
+ [ 10.0, -2.0, 2.0, -2.0 ]
+ > var bool = ( out === r )
+ true
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/types/index.d.ts b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/types/index.d.ts
new file mode 100644
index 000000000000..57a622d57e65
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/types/index.d.ts
@@ -0,0 +1,69 @@
+/*
+* @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
+
+///
+
+import { floatndarray, genericndarray } from '@stdlib/types/ndarray';
+
+/**
+* Input array.
+*/
+type InputArray = floatndarray | genericndarray;
+
+/**
+* Computes the forward discrete Fourier transform (DFT) of a real-valued one-dimensional ndarray.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+* - a one-dimensional workspace ndarray containing pre-computed values.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns input ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var rffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/rffti' );
+*
+* var N = 4;
+* var len = scalar2ndarray( N, {
+* 'dtype': 'int32'
+* });
+*
+* var w = new Float64Vector( ( 2*N ) + 34 );
+* rffti( [ w, len ] );
+*
+* var r = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = rfftf( [ r, w ] );
+* // returns [ 10.0, -2.0, 2.0, -2.0 ]
+*
+* var bool = ( out === r );
+* // returns true
+*/
+declare function rfftf( arrays: [ T, InputArray ] ): T;
+
+
+// EXPORTS //
+
+export = rfftf;
diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/types/test.ts b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/types/test.ts
new file mode 100644
index 000000000000..93755172ed77
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/docs/types/test.ts
@@ -0,0 +1,63 @@
+/*
+* @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 rfftf = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const r = zeros( [ 4 ], {
+ 'dtype': 'float64'
+ });
+ const w = zeros( [ 42 ], {
+ 'dtype': 'float64'
+ });
+
+ rfftf( [ r, w ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+ rfftf( '10' ); // $ExpectError
+ rfftf( 10 ); // $ExpectError
+ rfftf( true ); // $ExpectError
+ rfftf( false ); // $ExpectError
+ rfftf( null ); // $ExpectError
+ rfftf( undefined ); // $ExpectError
+ rfftf( [] ); // $ExpectError
+ rfftf( {} ); // $ExpectError
+ rfftf( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const r = zeros( [ 4 ], {
+ 'dtype': 'float64'
+ });
+ const w = zeros( [ 42 ], {
+ 'dtype': 'float64'
+ });
+
+ rfftf(); // $ExpectError
+ rfftf( [ r, w ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/examples/index.js b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/examples/index.js
new file mode 100644
index 000000000000..14a695b25852
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/examples/index.js
@@ -0,0 +1,44 @@
+/**
+* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var rffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/rffti' );
+var rfftf = require( './../lib' );
+
+var N = 4;
+var r = discreteUniform( [ N ], -10, 10, {
+ 'dtype': 'generic'
+});
+var w = zeros( [ ( 2*N ) + 34 ], {
+ 'dtype': 'generic'
+});
+var len = scalar2ndarray( N, {
+ 'dtype': 'int32'
+});
+
+console.log( ndarray2array( r ) );
+
+rffti( [ w, len ] );
+var out = rfftf( [ r, w ] );
+
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/lib/index.js b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/lib/index.js
new file mode 100644
index 000000000000..817efe988e81
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/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';
+
+/**
+* Compute the forward discrete Fourier transform (DFT) of a real-valued one-dimensional ndarray.
+*
+* @module @stdlib/fft/base/fftpack/ndarray/generic/rfftf
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var rffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/rffti' );
+* var rfftf = require( '@stdlib/fft/base/fftpack/ndarray/generic/rfftf' );
+*
+* var N = 4;
+* var len = scalar2ndarray( N, {
+* 'dtype': 'int32'
+* });
+*
+* var w = new Float64Vector( ( 2*N ) + 34 );
+* rffti( [ w, len ] );
+*
+* var r = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = rfftf( [ r, w ] );
+* // returns [ 10.0, -2.0, 2.0, -2.0 ]
+*
+* var bool = ( out === r );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/lib/main.js b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/lib/main.js
new file mode 100644
index 000000000000..88e01e41a025
--- /dev/null
+++ b/lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/rfftf/lib/main.js
@@ -0,0 +1,79 @@
+/**
+* @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 strided = require( '@stdlib/fft/base/fftpack/generic/rfftf' );
+
+
+// MAIN //
+
+/**
+* Computes the forward discrete Fourier transform (DFT) of a real-valued one-dimensional ndarray.
+*
+* ## Notes
+*
+* - The function expects the following ndarrays:
+*
+* - a one-dimensional input ndarray.
+* - a one-dimensional workspace ndarray containing pre-computed values.
+*
+* @param {ArrayLikeObject