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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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var ndims = require( '@stdlib/ndarray/base/ndims' );
var getDType = require( '@stdlib/ndarray/dtype' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var concat1d = require( '@stdlib/ndarray/concat1d' );
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Returns a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
*
* @param {ndarray} x - input ndarray
* @param {...*} values - scalar values
* @throws {TypeError} first argument must a be one-dimensional ndarray
* @throws {Error} must be provided at least two arguments
* @returns {ndarray} output ndarray
*
* @example
* var array = require( '@stdlib/ndarray/array' );
* var ndarray2array = require( '@stdlib/ndarray/to-array' );
*
* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
*
* var out = unshift( x, -2.0, -1.0, 0.0 );
* // returns <ndarray>
*
* var arr = ndarray2array( out );
* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
*/
function unshift( x ) {
var nargs;
var dtype;
var args;
var i;
if ( !isndarrayLike( x ) || ndims( x ) !== 1 ) {
throw new TypeError( format( 'invalid argument. First argument must be a one-dimensional ndarray. Value: `%s`.', x ) );
}
nargs = arguments.length;
if ( nargs < 2 ) {
throw new Error( format( 'invalid argument. The function must be provided at least two arguments. Value: `%s`.', nargs ) );
}
args = [];
dtype = getDType( x );
for ( i = 1; i < nargs; i++ ) {
args.push( scalar2ndarray( arguments[ i ], {
'dtype': dtype
}));
}
args.push( x );
return concat1d( args );
}
// EXPORTS //
module.exports = unshift;
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