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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 dtypes = require( '@stdlib/ndarray/dtypes' );
var gjoin = require( '@stdlib/blas/ext/base/ndarray/gjoin' );
var factory = require( '@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory' );
// VARIABLES //
var idtypes0 = dtypes( 'all' ); // input ndarray
var idtypes1 = dtypes( 'all' ); // separator ndarray
var odtypes = dtypes( 'all' );
var policies = {
'output': 'same',
'casting': 'promoted'
};
var table = {
'default': gjoin
};
// MAIN //
/**
* Returns an ndarray created by joining elements using a specified separator along an ndarray dimension.
*
* @private
* @name join
* @type {Function}
* @param {ndarrayLike} x - input ndarray
* @param {ndarrayLike} separator - separator
* @param {Options} [options] - function options
* @param {IntegerArray} [options.dims] - list of dimensions over which to perform operation
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} second argument must be either an ndarray-like object
* @throws {TypeError} options argument must be an object
* @throws {RangeError} dimension indices must not exceed input ndarray bounds
* @throws {RangeError} number of dimension indices must not exceed the number of input ndarray dimensions
* @throws {Error} must provide valid options
* @returns {ndarray} output ndarray
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* // Create a data buffer:
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
*
* // Define the shape of the input array:
* var sh = [ 6 ];
*
* // Define the array strides:
* var sx = [ 1 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Create an input ndarray:
* var x = new ndarray( 'generic', xbuf, sh, sx, ox, 'row-major' );
*
* // Create a separator ndarray:
* var separator = scalar2ndarray( ',', {
* 'dtype': 'generic'
* })
*
* // Perform operation:
* var out = join( x, separator );
* // returns <ndarray>
*
* var v = out.get();
* // returns '1,2,3,4,5,6'
*/
var join = factory( table, [ idtypes0, idtypes1 ], odtypes, policies );
// EXPORTS //
module.exports = join;
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