Skip to content

A multiset implementation for python

License

Notifications You must be signed in to change notification settings

simakuutio/multiset

 
 

Repository files navigation

multiset

This package provides a multiset implementation for python.

Latest version released on PyPi Test coverage Build status of the master branch Documentation Status

Overview

A multiset is similar to the builtin set, but it allows an element to occur multiple times. It is an unordered collection of elements which have to be hashable just like in a set. It supports the same methods and operations as set does, e.g. membership test, union, intersection, and (symmetric) difference:

>>> set1 = Multiset('aab')
>>> set2 = Multiset('abc')
>>> sorted(set1 | set2)
['a', 'a', 'b', 'c']

Multisets can be used in combination with sets:

>>> Multiset('aab') >= {'a', 'b'}
True

Multisets are mutable:

>>> set1.update('bc')
>>> sorted(set1)
['a', 'a', 'b', 'b', 'c']

There is an immutable version similar to the frozenset which is also hashable:

>>> set1 = FrozenMultiset('abc')
>>> set2 = FrozenMultiset('abc')
>>> hash(set1) == hash(set2)
True
>>> set1 is set2
False

The implementation is based on a dict that maps the elements to their multiplicity in the multiset. Hence, some dictionary operations are supported.

In contrast to the collections.Counter from the standard library, it has proper support for set operations and only allows positive counts. Also, elements with a zero multiplicity are automatically removed from the multiset.

Installation

Installing multiset is simple with pip:

$ pip install multiset

Documentation

The documentation is available at Read the Docs.

API Documentation

If you are looking for information on a particular method of the Multiset class, have a look at the API Documentation. It is automatically generated from the docstrings.

License

Licensed under the MIT license.

About

A multiset implementation for python

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.2%
  • Other 0.8%