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* @license Apache-2.0
*
* Copyright (c) 2026 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 isArrayLikeObject = require( '@stdlib/assert/is-array-like-object' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var ndarraylike2ndarray = require( '@stdlib/ndarray/base/ndarraylike2ndarray' );
var prependSingletonDimensions = require( '@stdlib/ndarray/base/prepend-singleton-dimensions' );
var ndims = require( '@stdlib/ndarray/base/ndims' );
var getShape = require( '@stdlib/ndarray/base/shape' );
var concat = require( '@stdlib/ndarray/concat' ).assign;
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Concatenates a list of one-dimensional or two-dimensional ndarrays as rows and assigns results to a provided output ndarray.
*
* ## Notes
*
* - One-dimensional input ndarrays having length `N` are promoted to two-dimensional ndarrays having shape `[1, N]`.
* - Input ndarrays must have the same number of columns.
*
* @param {ArrayLikeObject<ndarrayLike>} arrays - array-like object containing input ndarrays
* @param {ndarrayLike} out - output ndarray
* @throws {TypeError} first argument must be an array-like object
* @throws {RangeError} first argument must contain one or more ndarrays
* @throws {TypeError} first argument must contain ndarray-like objects
* @throws {TypeError} second argument must be an ndarray-like object
* @throws {RangeError} second argument must be a two-dimensional ndarray
* @throws {RangeError} must provide one- or two-dimensional ndarrays
* @throws {Error} must provide ndarrays having the same number of columns
* @throws {Error} must provide ndarrays which can be safely cast to a common data type
* @returns {ndarrayLike} output ndarray
*
* @example
* var array = require( '@stdlib/ndarray/array' );
* var zeros = require( '@stdlib/ndarray/zeros' );
*
* var x = array( [ 1.0, 2.0, 3.0 ] );
* // returns <ndarray>[ 1.0, 2.0, 3.0 ]
*
* var y = array( [ [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ] );
* // returns <ndarray>[ [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ]
*
* var z = zeros( [ 3, 3 ] );
* // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
*
* var out = assign( [ x, y ], z );
* // returns <ndarray>[ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ]
*
* var bool = ( out === z );
* // returns true
*/
function assign( arrays, out ) {
var ncols;
var arrs;
var arr;
var sh;
var n;
var i;
if ( !isArrayLikeObject( arrays ) ) {
throw new TypeError( format( 'invalid argument. First argument must be an array-like object. Value: `%s`.', arrays ) );
}
if ( arrays.length < 1 ) {
throw new RangeError( format( 'invalid argument. First argument must contain one or more ndarrays. Value: `%s`.', arrays ) );
}
if ( !isndarrayLike( out ) ) {
throw new TypeError( format( 'invalid argument. Second argument must be an ndarray. Value: `%s`.', out ) );
}
if ( ndims( out ) !== 2 ) {
throw new RangeError( format( 'invalid argument. Second argument must be a two-dimensional ndarray. Number of dimensions: `%u`.', ndims( out ) ) );
}
arrs = [];
for ( i = 0; i < arrays.length; i++ ) {
arr = arrays[ i ];
if ( !isndarrayLike( arr ) ) {
throw new TypeError( format( 'invalid argument. First argument must be an array-like object containing one or more ndarrays. Value: `%s`.', arr ) );
}
n = ndims( arr );
if ( n !== 1 && n !== 2 ) {
throw new RangeError( format( 'invalid argument. Must provide one- or two-dimensional ndarrays. Number of dimensions: `%u`.', n ) );
}
if ( n === 1 ) {
arr = prependSingletonDimensions( ndarraylike2ndarray( arr ), 1, false );
}
sh = getShape( arr, false );
if ( i === 0 ) {
ncols = sh[ 1 ];
} else if ( sh[ 1 ] !== ncols ) {
throw new Error( format( 'invalid argument. All ndarrays must have the same number of columns. Expected number of columns: `%u`. Actual number of columns: `%u`.', ncols, sh[ 1 ] ) );
}
arrs.push( arr );
}
concat( arrs, out, {
'dim': -2
});
return out;
}
// EXPORTS //
module.exports = assign;
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