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/**
* @license Apache-2.0
*
* Copyright (c) 2024 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';
 
// MAIN //
 
/**
* Invokes a callback function once for each ndarray element.
*
* @private
* @param {Object} x - object containing ndarray meta data
* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
* @param {string} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {Callback} fcn - callback function
* @param {*} thisArg - callback execution context
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var naryFunction = require( '@stdlib/utils/nary-function' );
* var log = require( '@stdlib/console/log' );
*
* // Create a data buffer:
* var xbuf = new Float64Array( 2 );
*
* // Define the shape of the array:
* var shape = [];
*
* // Define the array strides:
* var sx = [ 0 ];
*
* // Define the index offset:
* var ox = 1;
*
* // Create an ndarray-like object:
* var x = {
*     'ref': null,
*     'dtype': 'float64',
*     'data': xbuf,
*     'shape': shape,
*     'strides': sx,
*     'offset': ox,
*     'order': 'row-major'
* };
*
* // Apply the callback function:
* forEach0d( x, naryFunction( log, 1 ), {} );
*/
function forEach0d( x, fcn, thisArg ) {
	fcn.call( thisArg, x.data[ x.offset ], [], x.ref );
}
 
 
// EXPORTS //
 
module.exports = forEach0d;