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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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var broadcastScalar = require( '@stdlib/ndarray/base/broadcast-scalar' );
var dims = require( '@stdlib/ndarray/base/ndims' );
var defaults = require( '@stdlib/ndarray/defaults' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var getShape = require( '@stdlib/ndarray/base/shape' );
var getStrides = require( '@stdlib/ndarray/base/strides' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getOrder = require( '@stdlib/ndarray/base/order' );
var getDType = require( '@stdlib/ndarray/base/dtype' );
var scalarDType = require( '@stdlib/ndarray/base/scalar-dtype' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var ones = require( '@stdlib/array/base/ones' );
// VARIABLES //
var ORDER = defaults.get( 'order' );
// MAIN //
/**
* Converts a list of values (scalars and/or ndarrays) to ndarrays having at least a specified number of dimensions.
*
* @param {NonNegativeInteger} ndims - minimum number of dimensions
* @param {ArrayLikeObject<Object>} arrays - array-like object containing a list of scalars and/or ndarrays
* @returns {Array<Object>} list of ndarrays
*
* @example
* var array = require( '@stdlib/ndarray/array' );
*
* var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ] ] );
* // returns <ndarray>[ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ] ]
*
* var y = array( [ [ 5.0, 6.0 ], [ 7.0, 8.0 ] ] );
* // returns <ndarray>[ [ 5.0, 6.0 ], [ 7.0, 8.0 ] ]
*
* var out = atleastnd( 3, [ x, y ] );
* // returns [ <ndarray>, <ndarray> ]
*/
function atleastnd( ndims, arrays ) {
var strides;
var shape;
var out;
var sh;
var st;
var dt;
var v;
var N;
var i;
var j;
out = [];
for ( i = 0; i < arrays.length; i++ ) {
v = arrays[ i ];
if ( isndarrayLike( v ) ) {
N = dims( v );
if ( N >= ndims ) {
out.push( v );
continue;
}
sh = getShape( v, false );
st = getStrides( v, false );
shape = [];
strides = [];
// Prepend singleton dimensions...
for ( j = 0; j < ndims-N; j++ ) {
shape.push( 1 );
strides.push( st[ 0 ] );
}
// Copy remaining dimensions...
for ( j = 0; j < sh.length; j++ ) {
shape.push( sh[ j ] );
strides.push( st[ j ] );
}
out.push( new ndarray( getDType( v ), getData( v ), shape, strides, getOffset( v ), getOrder( v ) ) ); // eslint-disable-line max-len
continue;
}
// For scalar values, resolve a corresponding ndarray data type...
dt = scalarDType(v);
out.push( broadcastScalar( v, dt, ones( ndims ), ORDER ) );
}
return out;
}
// EXPORTS //
module.exports = atleastnd;
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