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Sort an input ndarray along one or more ndarray dimensions using heapsort.
npm install @stdlib/blas-ext-sorthpAlternatively,
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var sorthp = require( '@stdlib/blas-ext-sorthp' );Sorts an input ndarray along one or more ndarray dimensions using heapsort.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = sorthp( x );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ -3.0, -1.0, 2.0 ]
var bool = ( x === y );
// returns trueThe function has the following parameters:
- x: input ndarray. Must have a real-valued or "generic" data type.
- sortOrder: sort order (optional). May be either a scalar value, string, or an ndarray having a real-valued or "generic" data type. If provided an ndarray, the value must have a shape which is broadcast-compatible with the complement of the shape defined by
options.dims. For example, given the input shape[2, 3, 4]andoptions.dims=[0], an ndarray sort order must have a shape which is broadcast-compatible with the shape[3, 4]. Similarly, when performing the operation over all elements in a provided input ndarray, an ndarray sort order must be a zero-dimensional ndarray. By default, the sort order is1(i.e., increasing order). - options: function options (optional).
The function accepts the following options:
- dims: list of dimensions over which to perform operation. If not provided, the function performs the operation over all elements in a provided input ndarray.
By default, the function sorts elements in increasing order. To sort in a different order, provide a sortOrder argument.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
var y = sorthp( x, -1.0 );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ 2.0, -1.0, -3.0 ]In addition to numeric values, one can specify the sort order via one of the following string literals: 'ascending', 'asc', 'descending', or 'desc'. The first two literals indicate to sort in ascending (i.e., increasing) order. The last two literals indicate to sort in descending (i.e., decreasing) order.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0 ] );
// Sort in ascending order:
var y = sorthp( x, 'asc' );
// returns <ndarray>
var arr = ndarray2array( y );
// returns [ -3.0, -1.0, 2.0 ]
// Sort in descending order:
y = sorthp( x, 'descending' );
// returns <ndarray>
arr = ndarray2array( y );
// returns [ 2.0, -1.0, -3.0 ]By default, the function performs the operation over all elements in a provided input ndarray. To perform the operation over specific dimensions, provide a dims option.
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var x = array( [ -1.0, 2.0, -3.0, 4.0 ], {
'shape': [ 2, 2 ],
'order': 'row-major'
});
var v = ndarray2array( x );
// returns [ [ -1.0, 2.0 ], [ -3.0, 4.0 ] ]
var y = sorthp( x, {
'dims': [ 0 ]
});
// returns <ndarray>
v = ndarray2array( y );
// returns [ [ -3.0, 2.0 ], [ -1.0, 4.0 ] ]- The input ndarray is sorted in-place (i.e., the input ndarray is mutated).
- If
sortOrder < 0.0or is either'desc'or'descending', the input ndarray is sorted in decreasing order. IfsortOrder > 0.0or is either'asc'or'ascending', the input ndarray is sorted in increasing order. IfsortOrder == 0.0, the input ndarray is left unchanged. - The algorithm distinguishes between
-0and+0. When sorted in increasing order,-0is sorted before+0. When sorted in decreasing order,-0is sorted after+0. - The algorithm sorts
NaNvalues to the end. When sorted in increasing order,NaNvalues are sorted last. When sorted in decreasing order,NaNvalues are sorted first. - The algorithm has space complexity
O(1)and time complexityO(N log2 N). - The algorithm is unstable, meaning that the algorithm may change the order of ndarray elements which are equal or equivalent (e.g.,
NaNvalues). - The function iterates over ndarray elements according to the memory layout of the input ndarray. Accordingly, performance degradation is possible when operating over multiple dimensions of a large non-contiguous multi-dimensional input ndarray. In such scenarios, one may want to copy an input ndarray to contiguous memory before sorting.
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var ndarray = require( '@stdlib/ndarray-ctor' );
var sorthp = require( '@stdlib/blas-ext-sorthp' );
// Generate an array of random numbers:
var xbuf = discreteUniform( 25, -20, 20, {
'dtype': 'generic'
});
// Wrap in an ndarray:
var x = new ndarray( 'generic', xbuf, [ 5, 5 ], [ 5, 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
// Perform operation:
sorthp( x, {
'dims': [ 0 ]
});
// Print the results:
console.log( ndarray2array( x ) );This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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