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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 normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' );
var ndims = require( '@stdlib/ndarray/base/ndims' );
var getShape = require( '@stdlib/ndarray/base/shape' );
var format = require( '@stdlib/string/format' );
// MAIN //
/**
* Returns the size (i.e., number of elements) of a specified dimension for a provided ndarray.
*
* @param {ndarrayLike} x - input ndarray
* @param {integer} dim - dimension index
* @throws {TypeError} first argument must be an ndarray having one or more dimensions
* @throws {RangeError} dimension index exceeds the number of dimensions
* @returns {NonNegativeInteger} dimension size
*
* @example
* var zeros = require( '@stdlib/ndarray/zeros' );
*
* var out = numelDimension( zeros( [ 4, 2, 3 ] ), 0 );
* // returns 4
*/
function numelDimension( x, dim ) {
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 ) );
}
// Return the dimension size:
return getShape( x, false )[ d ];
}
// EXPORTS //
module.exports = numelDimension;
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