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* @license Apache-2.0
*
* Copyright (c) 2025 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 isFunction = require( '@stdlib/assert/is-function' );
var isTypedArrayLike = require( '@stdlib/assert/is-typed-array-like' );
var resolveEnum = require( '@stdlib/ndarray/base/dtype-resolve-enum' );
var reinterpretComplex64 = require( '@stdlib/strided/base/reinterpret-complex64' );
var reinterpretComplex128 = require( '@stdlib/strided/base/reinterpret-complex128' );
var reinterpretBoolean = require( '@stdlib/strided/base/reinterpret-boolean' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var getDType = require( '@stdlib/ndarray/base/dtype' );
var serialize = require( '@stdlib/ndarray/base/serialize-meta-data' );
var format = require( '@stdlib/string/format' );
// VARIABLES //
var COMPLEX64 = resolveEnum( 'complex64' );
var COMPLEX128 = resolveEnum( 'complex128' );
var BOOLEAN = resolveEnum( 'bool' );
// MAIN //
/**
* Returns a function which dispatches to a native add-on applying a unary function to an input ndarray.
*
* ## Notes
*
* - The returned function has the following signature:
*
* ```text
* f( x, y )
* ```
*
* where
*
* - **x**: input ndarray.
* - **y**: output ndarray.
*
* - The add-on function should have the following signature:
*
* ```text
* f( xbuf, metaX, ybuf, metaY )
* ```
*
* where
*
* - **xbuf**: input ndarray data buffer.
* - **metaX**: serialized input ndarray meta data.
* - **ybuf**: output array data buffer.
* - **metaY**: serialized output ndarray meta data.
*
* - The fallback function should have the following signature:
*
* ```text
* f( x, y )
* ```
*
* where
*
* - **x**: input ndarray.
* - **y**: output ndarray.
*
* @param {Function} addon - add-on interface
* @param {Function} fallback - fallback function
* @throws {TypeError} first argument must be a function
* @throws {TypeError} second argument must be a function
* @returns {Function} dispatch function
*
* @example
* var array = require( '@stdlib/ndarray/array' );
* var zeros = require( '@stdlib/ndarray/zeros' );
*
* function addon( x, metaX, y, metaY ) {
* // Call into native add-on...
* }
*
* function fallback( x, y ) {
* // Fallback JavaScript implementation...
* }
*
* // Create a dispatch function:
* var f = dispatch( addon, fallback );
*
* // ...
*
* // Invoke the dispatch function with ndarray arguments:
* var x = array( [ [ 1, 2], [ 3, 4 ] ] );
* var y = zeros( [ 2, 2 ] );
* f( x, y );
*/
function dispatch( addon, fallback ) {
if ( !isFunction( addon ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a function. Value: `%s`.', addon ) );
}
if ( !isFunction( fallback ) ) {
throw new TypeError( format( 'invalid argument. Second argument must be a function. Value: `%s`.', fallback ) );
}
return dispatcher;
/**
* Dispatches to a native add-on.
*
* @private
* @param {ndarray} x - input array
* @param {ndarray} y - output array
* @throws {TypeError} unable to resolve an ndarray function supporting the provided argument data types
* @returns {ndarray} output array
*/
function dispatcher( x, y ) {
var dtypeX;
var dtypeY;
var dataX;
var dataY;
var viewX;
var viewY;
dataX = getData( x );
dataY = getData( y );
// WARNING: we assume that, if we're provided something which has a data buffer resembling a typed array, we're provided an ndarray with a typed array buffer; however, this can lead to potential unintended errors as the native add-on may not work with non-typed array objects (e.g., generic arrays)...
if ( !isTypedArrayLike( dataX ) || !isTypedArrayLike( dataY ) ) {
fallback( x, y );
return y;
}
dtypeX = resolveEnum( getDType( x ) );
dtypeY = resolveEnum( getDType( y ) );
if ( dtypeX === null || dtypeY === null ) {
throw new TypeError( 'invalid arguments. Unable to resolve an ndarray function supporting the provided argument data types.' );
}
if ( dtypeX === COMPLEX64 ) {
viewX = reinterpretComplex64( dataX, 0 );
} else if ( dtypeX === COMPLEX128 ) {
viewX = reinterpretComplex128( dataX, 0 );
} else if ( dtypeX === BOOLEAN ) {
viewX = reinterpretBoolean( dataX, 0 );
} else {
viewX = dataX;
}
if ( dtypeY === COMPLEX64 ) {
viewY = reinterpretComplex64( dataY, 0 );
} else if ( dtypeY === COMPLEX128 ) {
viewY = reinterpretComplex128( dataY, 0 );
} else if ( dtypeY === BOOLEAN ) {
viewY = reinterpretBoolean( dataY, 0 );
} else {
viewY = dataY;
}
addon( viewX, serialize( x ), viewY, serialize( y ) );
return y;
}
}
// EXPORTS //
module.exports = dispatch;
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