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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 broadcastScalar = require( '@stdlib/ndarray/base/broadcast-scalar' );
var concat = require( '@stdlib/ndarray/concat' );
var ndims = require( '@stdlib/ndarray/base/ndims' );
var isArray = require( '@stdlib/assert/is-array' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var broadcastArray = require( '@stdlib/ndarray/broadcast-array' );
var format = require( '@stdlib/string/format' );
var defaults = require( '@stdlib/ndarray/defaults' );
var normalizeArrays = require( './normalize_arrays.js' );
var resolveDataTypes = require( './resolve_dtypes.js' );
var resolveOrder = require( './resolve_order.js' );
// VARIABLES //
var DEFAULT_ORDER = defaults.get( 'order' );
var DEFAULT_DTYPE = defaults.get( 'dtypes.default' );
// MAIN //
/**
* Returns a one-dimensional ndarray formed by concatenating the provided input arguments.
*
* @param {...*} args - input arguments
* @throws {Error} function must be provided an array of inputs or more than one separate input arguments
* @throws {RangeError} function must be provided a one-dimensional ndarray or a zero-dimensional ndarray
* @returns {ndarray} output ndarray
*
* @example
* var array = require( '@stdlib/ndarray/array' );
* var ndarray2array = require( '@stdlib/ndarray/to-array' );
* var ndarray2array = require( '@stdlib/ndarray/to-array' );
*
* var x = array( [ -1.0, 2.0, 3.0, 4.0 ] );
* var y = array( [ -5.0, 6.0, -7.0, -8.0, 9.0, -10.0 ] );
*
* var out = concat1d( x, y );
* // returns <ndarray>
*
* var arr = ndarray2array( out );
* // returns [ -1.0, 2.0, 3.0, 4.0, -5.0, 6.0, -7.0, -8.0, 9.0, -10.0 ]
*/
function concat1d() {
var nargs;
var args;
var arrs;
var ord;
var dt;
var i;
var d;
nargs = arguments.length;
// Resolve function arguments...
if ( nargs < 1 ) {
throw new Error( format( 'invalid argument. The function must be provided an array of inputs or more than one separate input arguments. Value: `%s`.', nargs ) );
}
if ( nargs > 1 ) {
args = [];
for ( i = 0; i < nargs; i++ ) {
args.push( arguments[ i ] );
}
}
if ( nargs === 1 ) {
if ( isArray( arguments[ 0 ] ) ) {
args = arguments[ 0 ];
} else {
args = [];
args.push( arguments[ 0 ] );
}
}
// Resolve the `dtype` and `order` of input ndarrays...
arrs = [];
for ( i = 0; i < args.length; i++ ) {
if ( isndarrayLike( args[ i ] ) ) {
d = ndims( args[ i ] );
if ( d > 1 ) {
throw new RangeError( format( 'invalid argument. The function must be provided a one-dimensional ndarray or a zero-dimensional ndarray.. Value: `%s`.', d ) );
}
arrs.push( args[ i ] );
}
}
if ( arrs.length >= 1 ) {
dt = resolveDataTypes( arrs );
ord = resolveOrder( arrs );
}
// Broadcast scalar or 0d ndarray inputs...
for ( i = 0; i < args.length; i++ ) {
if ( isndarrayLike( args[ i ] ) ) {
if ( ndims( args[ i ] ) === 0 ) {
args[ i ] = broadcastArray( args[ i ], [ 1 ] );
}
} else if ( !dt && !ord ) {
args[ i ] = broadcastScalar( args[ i ], DEFAULT_DTYPE, [ 1 ], DEFAULT_ORDER ); // eslint-disable-line max-len
} else {
args[ i ] = broadcastScalar( args[ i ], dt, [ 1 ], ord );
}
}
return concat( normalizeArrays( args ) );
}
// EXPORTS //
module.exports = concat1d;
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