Skip to main content

An implementation of Lisp/Scheme-like cons in Python.

Project description

Build Status Coverage Status PyPI

Python cons

An implementation of cons in Python.

Usage and Design

The cons package attempts to emulate the semantics of Lisp/Scheme's cons as closely as possible while incorporating all the built-in Python sequence types:

>>> from cons import cons, car, cdr
>>> cons(1, [])
[1]

>>> cons(1, ())
(1,)

>>> cons(1, [2, 3])
[1, 2, 3]

In general, cons is designed to work with collections.abc.Sequence types.

According to the cons package, None corresponds to the empty built-in list, as nil does in some Lisps:

>>> cons(1, None)
[1]

The cons package follows Scheme-like semantics for empty sequences:

>>> car([])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ConsError: Not a cons pair

>>> cdr([])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ConsError: Not a cons pair

By default, str types are not considered cons-pairs, although they are sequences:

>>> cons("a", "string")
ConsPair('a' 'a string')

This setting can be overridden and other types can be similarly excluded from consideration by registering classes with the abc-based classes MaybeCons and NonCons.

Features

  • Built-in support for the standard Python ordered sequence types: i.e. list, tuple, Iterator, OrderedDict.
>>> from collections import OrderedDict
>>> cons(('a', 1), OrderedDict())
OrderedDict([('a', 1)])
  • Existing cons behavior can be changed and support for new collections can be added through the generic functions cons.core._car and cons.core._cdr.
  • Built-in support for unification.
>>> from unification import unify, reify, var
>>> unify([1, 2], cons(var('car'), var('cdr')), {})
{~car: 1, ~cdr: [2]}

>>> reify(cons(1, var('cdr')), {var('cdr'): [2, 3]})
[1, 2, 3]

>>> reify(cons(1, var('cdr')), {var('cdr'): None})
[1]

Installation

pip install cons

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cons-0.4.1.tar.gz (21.6 kB view details)

Uploaded Source

Built Distribution

cons-0.4.1-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file cons-0.4.1.tar.gz.

File metadata

  • Download URL: cons-0.4.1.tar.gz
  • Upload date:
  • Size: 21.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3

File hashes

Hashes for cons-0.4.1.tar.gz
Algorithm Hash digest
SHA256 e9e3f19b3320c0c63d87ea1580df2681fcf4d702c76a7a51dd062ccee2bea5b8
MD5 8c77fb3b9ba2dead4ec33efe9829e109
BLAKE2b-256 1aff723bc8d5c71604f7d049ff75085ebe02f044adcff2436e87b7b0ea2f5762

See more details on using hashes here.

File details

Details for the file cons-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: cons-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3

File hashes

Hashes for cons-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a6a3f653bd8c5edc0419e83578ea48d87a9f36b33d1a9512831e1efc0792cb16
MD5 016e21f12f83095a6e3f497287e7db24
BLAKE2b-256 8a1fb6c345e7d43421d755159d8b78c0034b2c96b19496ba72ddf2e36fe29ec1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page