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<span class="cline-any cline-neutral">&nbsp;</span></td><td class="text"><pre class="prettyprint lang-js">/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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&nbsp;
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'use strict';
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&nbsp;
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// MODULES //
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&nbsp;
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var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
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var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
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var getDType = require( '@stdlib/ndarray/dtype' );
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var ndims = require( '@stdlib/ndarray/ndims' );
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var concat1d = require( '@stdlib/ndarray/concat1d' ).assign;
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var format = require( '@stdlib/string/format' );
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&nbsp;
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&nbsp;
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// MAIN //
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&nbsp;
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/**
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* Appends provided scalar values to a one-dimensional input ndarray and assigns the result to a one-dimensional output ndarray.
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*
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* @param {ndarrayLike} x - input ndarray
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* @param {...*} values - scalar values
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* @param {ndarrayLike} out - output ndarray
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* @throws {Error} must provide at least three arguments
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* @throws {TypeError} first argument must be a one-dimensional ndarray
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* @throws {TypeError} last argument must be a one-dimensional ndarray
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* @returns {ndarray} output ndarray
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*
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* @example
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* var array = require( '@stdlib/ndarray/array' );
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* var zeros = require( '@stdlib/ndarray/zeros' );
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*
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* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
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* var y = zeros( [ 7 ] );
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*
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* var out = assign( x, 5.0, 6.0, 7.0, y );
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* // returns &lt;ndarray&gt;[ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ]
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*
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* var bool = ( out === y );
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* // returns true
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*/
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function assign( x ) {
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var nargs;
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var dtype;
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var args;
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var out;
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var i;
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&nbsp;
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if ( !isndarrayLike( x ) || ndims( x ) !== 1 ) {
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throw new TypeError( format( 'invalid argument. First argument must be a one-dimensional ndarray. Value: `%s`.', x ) );
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}
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nargs = arguments.length;
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if ( nargs &lt; 3 ) {
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throw new Error( 'invalid operation. Must provide at least three arguments.' );
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}
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out = arguments[ nargs-1 ];
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if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {
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throw new TypeError( format( 'invalid argument. Last argument must be a one-dimensional ndarray. Value: `%s`.', out ) );
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}
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dtype = getDType( x );
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args = [ x ];
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for ( i = 1; i &lt; nargs-1; i++ ) {
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args.push( scalar2ndarray( arguments[ i ], {
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'dtype': dtype
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}));
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}
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return concat1d( args, out );
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}
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&nbsp;
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&nbsp;
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// EXPORTS //
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&nbsp;
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module.exports = assign;
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&nbsp;</pre></td></tr></table></pre>
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