Logical unification in Python
Project description
Logical Unification
Logical unification in Python, extensible via dispatch.
Installation
Using pip:
pip install logical-unification
To install from source:
git clone git@github.com:pythological/unification.git
cd unification
pip install -r requirements.txt
Tests can be run with the provided Makefile:
make check
Examples
unification has built-in support for most Python data types:
>>> from unification import *
>>> unify(1, 1)
{}
>>> unify(1, 2)
False
>>> x = var('x')
>>> unify((1, x), (1, 2))
{~x: 2}
>>> unify((x, x), (1, 2))
False
Custom classes can be made "unifiable" with the unifiable decorator:
@unifiable
class Account(object):
def __init__(self, id, name, balance):
self.id = id
self.name = name
self.balance = balance
>>> data = [Account(1, 'Alice', 100),
Account(2, 'Bob', 0),
Account(2, 'Charlie', 0),
Account(2, 'Denis', 400),
Account(2, 'Edith', 500)]
>>> id, name, balance = var('id'), var('name'), var('balance')
>>> [unify(Account(id, name, balance), acct) for acct in data]
[{~name: 'Alice', ~balance: 100, ~id: 1},
{~name: 'Bob', ~balance: 0, ~id: 2},
{~name: 'Charlie', ~balance: 0, ~id: 2},
{~name: 'Denis', ~balance: 400, ~id: 2},
{~name: 'Edith', ~balance: 500, ~id: 2}]
>>> [unify(Account(id, name, 0), acct) for acct in data]
[False,
{~name: 'Bob', ~id: 2},
{~name: 'Charlie', ~id: 2},
False,
False]
unification also supports function dispatch through pattern matching:
>> from unification.match import *
>>> n = var('n')
@match(0)
def fib(n):
return 0
@match(1)
def fib(n):
return 1
@match(n)
def fib(n):
return fib(n - 1) + fib(n - 2)
>>> map(fib, [0, 1, 2, 3, 4, 5, 6, 7, 8, 0])
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]
The pattern matching can be fairly complex:
>> name, amount = var('name'), var('amount')
@match({'status': 200, 'data': {'name': name, 'credit': amount}})
def respond(name, amount):
balance[name] += amount
@match({'status': 200, 'data': {'name': name, 'debit': amount}})
def respond(name, amount):
balance[name] -= amount
@match({'status': 404})
def respond():
print("Bad Request")
See the full example in the examples directory.
Performance and Reliability
unification's current design allows for unification and reification of nested structures that break the Python stack recursion limit. This scalability incurs an overhead cost compared to simple stack-based recursive unification/reificiation.
About
This project is a fork of unification.
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