All files main.js

100% Statements 79/79
100% Branches 2/2
100% Functions 1/1
100% Lines 79/79

Press n or j to go to the next uncovered block, b, p or k for the previous block.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 801x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 5x 5x 5x 5x 5x 5x 5x 5x 5x 1x 1x 1x 1x 1x  
/**
* @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<Object>} arrays - array-like object containing ndarrays
* @returns {ndarrayLike} 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 <ndarray>[ 10.0, -2.0, 2.0, -2.0 ]
*
* var bool = ( out === r );
* // returns true
*/
function rfftf( arrays ) {
	var r;
	var w;
 
	r = arrays[ 0 ];
	w = arrays[ 1 ];
	strided( numelDimension( r, 0 ), getData( r ), getStride( r, 0 ), getOffset( r ), getData( w ), getStride( w, 0 ), getOffset( w ) ); // eslint-disable-line max-len
	return r;
}
 
 
// EXPORTS //
 
module.exports = rfftf;