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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';
// MODULES //
var reinterpret = require( '@stdlib/strided/base/reinterpret-complex64' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var getShape = require( '@stdlib/ndarray/base/shape' );
var getStrides = require( '@stdlib/ndarray/base/strides' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getOrder = require( '@stdlib/ndarray/base/order' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var gscal = require( '@stdlib/blas/base/gscal' );
// MAIN //
/**
* Reinterprets a single-precision complex floating-point ndarray as a real-valued single-precision floating-point ndarray containing interleaved real and imaginary components.
*
* ## Notes
*
* - The returned ndarray is a view on the input ndarray data buffer.
* - The returned ndarray has an additional trailing dimension of size two whose elements correspond to the real and imaginary components, respectively, of each complex-valued element in the input ndarray.
* - The returned ndarray is a "base" ndarray, and, thus, the returned ndarray does not perform bounds checking or afford any of the guarantees of the non-base ndarray constructor. The primary intent of this function is to reinterpret an ndarray-like object within internal implementations and to do so with minimal overhead.
*
* @param {ndarray} x - input ndarray
* @returns {ndarray} single-precision floating-point ndarray view
*
* @example
* var ones = require( '@stdlib/ndarray/base/ones' );
*
* var x = ones( 'complex64', [ 2, 2 ], 'row-major' );
* // returns <ndarray>[ [ <Complex64>[ 1.0, 0.0 ], <Complex64>[ 1.0, 0.0 ] ], [ <Complex64>[ 1.0, 0.0 ], <Complex64>[ 1.0, 0.0 ] ] ]
*
* var out = reinterpretComplex64( x );
* // returns <ndarray>[ [ [ 1.0, 0.0 ], [ 1.0, 0.0 ] ], [ [ 1.0, 0.0 ], [ 1.0, 0.0 ] ] ]
*/
function reinterpretComplex64( x ) {
var strides;
var shape;
var ndims;
shape = getShape( x, true );
strides = getStrides( x, true );
ndims = shape.length;
gscal( ndims, 2, strides, 1 );
// Append a trailing dimension where each element is the real and imaginary component for a corresponding element in the input ndarray...
shape.push( 2 );
// Augment the strides, assuming that real and imaginary components are adjacent in memory...
if ( ndims === 0 ) {
strides[ 0 ] = 1;
} else {
strides.push( 1 );
}
return ndarray( 'float32', reinterpret( getData( x ), 0 ), shape, strides, getOffset( x ) * 2, getOrder( x ) );
}
// EXPORTS //
module.exports = reinterpretComplex64;
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