feat: update fft/base/fftpack/ndarray/generic TypeScript declarations

lib/node_modules/@stdlib/fft/base/fftpack/ndarray/generic/docs/types/index.d.ts

@@ -21,7 +21,9 @@
 /* eslint-disable max-lines */
 
 import cffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/cffti' );
+import cosqi = require( '@stdlib/fft/base/fftpack/ndarray/generic/cosqi' );
 import rffti = require( '@stdlib/fft/base/fftpack/ndarray/generic/rffti' );
+import sinqi = require( '@stdlib/fft/base/fftpack/ndarray/generic/sinqi' );
 
 /**
 * Interface describing the `generic` namespace.
@@ -67,6 +69,49 @@ interface Namespace {
 	*/
 	cffti: typeof cffti;
 
+	/**
+	* Initializes a workspace array for performing a quarter-wave cosine transform on a one-dimensional ndarray.
+	*
+	* ## Notes
+	*
+	* -   The function expects the following ndarrays:
+	*
+	*     -   a one-dimensional input ndarray.
+	*     -   a zero-dimensional ndarray containing the length of the sequence to transform.
+	*
+	* @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 Slice = require( '@stdlib/slice/ctor' );
+	* var slice = require( '@stdlib/ndarray/slice' );
+	*
+	* var N = 8;
+	* var len = scalar2ndarray( N, {
+	*     'dtype': 'int32'
+	* });
+	*
+	* var w = new Float64Vector( ( 3*N ) + 34 );
+	*
+	* var out = ns.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 ]
+	*/
+	cosqi: typeof cosqi;
+
 	/**
 	* Initializes a workspace array for performing a real-valued Fourier transform on a one-dimensional ndarray.
 	*
@@ -106,6 +151,49 @@ interface Namespace {
 	* // returns <ndarray>[ 8, 2, 2, 4 ]
 	*/
 	rffti: typeof rffti;
+
+	/**
+	* Initializes a workspace array for performing a quarter-wave sine transform on a one-dimensional ndarray.
+	*
+	* ## Notes
+	*
+	* -   The function expects the following ndarrays:
+	*
+	*     -   a one-dimensional input ndarray.
+	*     -   a zero-dimensional ndarray containing the length of the sequence to transform.
+	*
+	* @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 Slice = require( '@stdlib/slice/ctor' );
+	* var slice = require( '@stdlib/ndarray/slice' );
+	*
+	* var N = 8;
+	* var len = scalar2ndarray( N, {
+	*     'dtype': 'int32'
+	* });
+	*
+	* var w = new Float64Vector( ( 3*N ) + 34 );
+	*
+	* var out = ns.sinqi( [ 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 ]
+	*/
+	sinqi: typeof sinqi;
 }
 
 /**