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* @license Apache-2.0
*
* Copyright (c) 2022 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 isRowMajorString = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
var normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' );
var strides2order = require( '@stdlib/ndarray/base/strides2order' );
var getDType = require( '@stdlib/ndarray/base/dtype' );
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 getData = require( '@stdlib/ndarray/base/data-buffer' );
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Expands the shape of an array by inserting a new dimension of size one at a specified dimension index.
*
* ## Notes
*
* - A provided dimension index must reside on the interval `[-N-1, N]`, where `N` is the rank (i.e., number of dimensions) of the provided input array. If provided a negative dimension index, the position at which to insert a singleton dimension is computed as `N + dim + 1`. Hence, if provided `-1`, the resolved position is `N` (i.e., a singleton dimension is appended to the input array).
*
* @param {ndarray} x - input array
* @param {integer} dim - dimension index at which to insert a singleton dimension
* @param {boolean} writable - boolean indicating whether the returned ndarray should be writable
* @throws {RangeError} must provide a valid dimension index
* @returns {ndarray} output array
*
* @example
* var array = require( '@stdlib/ndarray/array' );
*
* var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
* // returns <ndarray>[ [ 1, 2 ], [ 3, 4 ] ]
*
* var y = expandDimensions( x, 1, false );
* // returns <ndarray>[ [ [ 1, 2 ] ], [ [ 3, 4 ] ] ]
*/
function expandDimensions( x, dim, writable ) {
var strides;
var shape;
var isrm;
var ord;
var sh;
var st;
var d;
var o;
var N;
var i;
sh = getShape( x, false );
st = getStrides( x, false );
ord = getOrder( x );
o = strides2order( st );
if ( o === 0 || o === 3 ) {
// Fallback to stated layout when unable to infer the underlying physical layout:
isrm = isRowMajorString( ord );
} else {
isrm = ( o === 1 );
}
N = sh.length;
strides = [];
shape = [];
d = normalizeIndex( dim, N );
if ( d === -1 ) {
throw new RangeError( format( 'invalid argument. Specified dimension index is out-of-bounds. Must be on the interval: [-%u, %u]. Value: `%d`.', N+1, N, dim ) );
}
if ( d === 0 ) {
// Prepend singleton dimension...
shape.push( 1 );
if ( isrm ) {
strides.push( sh[ 0 ] * st[ 0 ] );
} else {
strides.push( st[ 0 ] );
}
// Copy remaining dimensions...
for ( i = 0; i < N; i++ ) {
shape.push( sh[ i ] );
strides.push( st[ i ] );
}
} else if ( d === N ) {
// Copy dimensions...
for ( i = 0; i < N; i++ ) {
shape.push( sh[ i ] );
strides.push( st[ i ] );
}
// Append singleton dimension...
shape.push( 1 );
if ( isrm ) {
strides.push( st[ N-1 ] );
} else {
strides.push( sh[ N-1 ] * st[ N-1 ] );
}
} else {
// Insert a singleton dimension...
for ( i = 0; i < N+1; i++ ) {
if ( i === d ) {
shape.push( 1 );
if ( isrm ) {
strides.push( st[ i-1 ] );
} else { // ord === 'column-major'
strides.push( st[ i ] );
}
} else if ( i < d ) {
shape.push( sh[ i ] );
strides.push( st[ i ] );
} else { // i > d
shape.push( sh[ i-1 ] );
strides.push( st[ i-1 ] );
}
}
}
return new x.constructor( getDType( x ), getData( x ), shape, strides, getOffset( x ), ord, { // eslint-disable-line max-len
'readonly': !writable
});
}
// EXPORTS //
module.exports = expandDimensions;
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