Press n or j to go to the next uncovered block, b, p or k for the previous block.
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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.
*/
/* eslint-disable max-params, max-len */
'use strict';
// MODULES //
var addon = require( './../src/addon.node' );
// MAIN //
/**
* Calculates the k-th discrete forward difference of a double-precision floating-point strided array.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {PositiveInteger} k - number of times to recursively compute differences
* @param {Float64Array} x - input array
* @param {integer} strideX - stride length for `x`
* @param {PositiveInteger} offsetX - starting index for `x`
* @param {PositiveInteger} N1 - number of indexed elements of prepend
* @param {Float64Array} prepend - prepend array
* @param {integer} strideP - stride length for `prepend`
* @param {PositiveInteger} offsetP - starting index for `prepend`
* @param {PositiveInteger} N2 - number of indexed elements of append
* @param {Float64Array} append - append array
* @param {integer} strideA - stride length for `append`
* @param {PositiveInteger} offsetA - starting index for `append`
* @param {Float64Array} out - output array
* @param {integer} strideOut - stride length for `out`
* @param {PositiveInteger} offsetOut - starting index for `out`
* @param {Float64Array} workspace - workspace array
* @param {integer} strideW - stride length for `workspace`
* @param {PositiveInteger} offsetW - starting index for `workspace`
* @returns {Float64Array} output array
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 2.0, 4.0, 7.0, 11.0, 16.0 ] );
* var p = new Float64Array( [ 1.0 ] );
* var a = new Float64Array( [ 22.0 ] );
* var out = new Float64Array( 5 );
* var w = new Float64Array( 6 )
*
* ddiff( x.length, 2, x, 1, 0, 1, p, 1, 0, 1, a, 1, 0, out, 1, 0, w, 1, 0 );
*
* console.log( out );
* // out => <Float64Array>[ 1.0, 1.0, 1.0, 1.0, 1.0 ]
*/
function ddiff( N, k, x, strideX, offsetX, N1, prepend, strideP, offsetP, N2, append, strideA, offsetA, out, strideOut, offsetOut, workspace, strideW, offsetW ) {
addon.ndarray( N, k, x, strideX, offsetX, N1, prepend, strideP, offsetP, N2, append, strideA, offsetA, out, strideOut, offsetOut, workspace, strideW, offsetW );
return out;
}
// EXPORTS //
module.exports = ddiff;
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