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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';
/**
* Constructor for applying a strided function to an input ndarray.
*
* @module @stdlib/ndarray/base/unary-strided1d-dispatch
*
* @example
* var base = require( '@stdlib/stats/base/ndarray/cumax' );
* var dtypes = require( '@stdlib/ndarray/dtypes' );
* var ndarray2array = require( '@stdlib/ndarray/to-array' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
* var UnaryStrided1dDispatch = require( '@stdlib/ndarray/base/unary-strided1d-dispatch' );
*
* var idt = dtypes( 'real_and_generic' );
* var odt = idt;
* var policy = 'same';
*
* var table = {
* 'default': base
* };
* var cumax = new UnaryStrided1dDispatch( table, [ idt ], odt, policy );
*
* var xbuf = [ -1.0, 2.0, -3.0 ];
* var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
*
* var y = cumax.apply( x );
* // returns <ndarray>
*
* var arr = ndarray2array( y );
* // returns [ -1.0, 2.0, 2.0 ]
*/
// MODULES //
var main = require( './main.js' );
// EXPORTS //
module.exports = main;
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