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* @license Apache-2.0
*
* Copyright (c) 2023 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 args2multislice = require( '@stdlib/slice/base/args2multislice' );
var ndims = require( '@stdlib/ndarray/base/ndims' );
var slice = require( '@stdlib/ndarray/base/slice' );
var normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' );
var nulls = require( '@stdlib/array/base/nulls' );
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Returns a view of an input ndarray when sliced along a specified dimension.
*
* @param {ndarray} x - input array
* @param {integer} dim - index of dimension to slice
* @param {(Slice|integer)} s - slice object or an integer
* @param {boolean} strict - boolean indicating whether to enforce strict bounds checking
* @param {boolean} writable - boolean indicating whether a returned array should be writable
* @throws {TypeError} first argument must be an ndarray having one or more dimensions
* @throws {RangeError} dimension index exceeds the number of dimensions
* @throws {RangeError} slice exceeds array bounds
* @returns {ndarray} ndarray view
*
* @example
* var Slice = require( '@stdlib/slice/ctor' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
* var ndarray2array = require( '@stdlib/ndarray/to-array' );
*
* var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
* var shape = [ 3, 2 ];
* var strides = [ 2, 1 ];
* var offset = 0;
*
* var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
* // returns <ndarray>
*
* var sh = x.shape;
* // returns [ 3, 2 ]
*
* var arr = ndarray2array( x );
* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
*
* var s = new Slice( null, null, -1 );
* // returns <Slice>
*
* var y = sliceDimension( x, 0, s, false, false );
* // returns <ndarray>
*
* sh = y.shape;
* // returns [ 3, 2 ]
*
* arr = ndarray2array( y );
* // returns [ [ 5.0, 6.0 ], [ 3.0, 4.0 ], [ 1.0, 2.0 ] ]
*/
function sliceDimension( x, dim, s, strict, writable ) {
var args;
var N;
var d;
// Retrieve array meta data:
N = ndims( x );
// Check whether we were provided a zero-dimensional array...
if ( N === 0 ) {
throw new TypeError( format( 'invalid argument. First argument must be an ndarray having one or more dimensions. Number of dimensions: %d.', N ) );
}
// Normalize the dimension index:
d = normalizeIndex( dim, N-1 );
if ( d === -1 ) {
throw new RangeError( format( 'invalid argument. Dimension index exceeds the number of dimensions. Number of dimensions: %d. Value: `%d`.', N, dim ) );
}
// Define a list of MultiSlice constructor arguments:
args = nulls( N );
args[ d ] = s;
// Return a new array view:
return slice( x, args2multislice( args ), strict, writable );
}
// EXPORTS //
module.exports = sliceDimension;
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