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* @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';
/**
* Initialize a workspace array for performing a quarter-wave cosine transform on a one-dimensional ndarray.
*
* @module @stdlib/fft/base/fftpack/ndarray/cosqi
*
* @example
* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var Slice = require( '@stdlib/slice/ctor' );
* var slice = require( '@stdlib/ndarray/slice' );
* var cosqi = require( '@stdlib/fft/base/fftpack/ndarray/cosqi' );
*
* var N = 8;
* var len = scalar2ndarray( N, {
* 'dtype': 'int32'
* });
*
* var w = new Float64Vector( ( 3*N ) + 34 );
*
* var out = cosqi( [ w, len ] );
* // returns <ndarray>
*
* var bool = ( out === w );
* // returns true
*
* var cosineTable = slice( w, new Slice( 0, N ) );
* // returns <ndarray>[ ~0.98, ~0.92, ~0.83, ~0.7, ~0.56, ~0.38, ~0.2, ~0.0 ]
*
* var twiddleFactors = slice( w, new Slice( 2*N, 3*N ) );
* // returns <ndarray>[ ~0.707, ~0.707, 0, 0, 0, 0, 0, 0 ]
*
* var factors = slice( w, new Slice( 3*N, ( 3*N ) + 4 ) );
* // returns <ndarray>[ 8, 2, 2, 4 ]
*/
// MODULES //
var main = require( './main.js' );
// EXPORTS //
module.exports = main;
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