Skip to content
forked from netom/satispy

An interface to SAT solver tools (like minisat)

License

Notifications You must be signed in to change notification settings

crack521/satispy

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

52 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Build Status

SATisPy

Satispy is a Python library that aims to be an interface to various SAT (boolean satisfiability) solver applications.

Supported solvers:

Support for other solvers should be fairly easy as long as they accept the DIMACS CNF SAT format.

Installing

You can grab the current version from pypi:

$ sudo pip install satispy

Or you can download a copy from https://github.com/netom/satispy, and runs

$ sudo ./setup.py install

in the directory of the project.

If you want to develop on the library, use:

$ ./setup.py develop

You can run the tests found in the test folder by running run_tests.py.

How it works

You need a SAT solver to be installed on your machine for this to work.

Let's see an example:

from satispy import Variable, Cnf
from satispy.solver import Minisat

v1 = Variable('v1')
v2 = Variable('v2')
v3 = Variable('v3')

exp = v1 & v2 | v3

solver = Minisat()

solution = solver.solve(exp)

if solution.success:
    print "Found a solution:"
    print v1, solution[v1]
    print v2, solution[v2]
    print v3, solution[v3]
else:
    print "The expression cannot be satisfied"

This program tries to satisfy the boolean expression

v1 & v2 | v3

You can make this true by assigning true to all variables for example, but there are other solutions too. This program finds a single arbitrary solution.

First, the program imports the various classes so we can build an expression and try to solve it.

Every expression is in CNF form, but we don't have to enter the expression in it. The Cnf class takes care of the proper arranging of the boolean terms.

Expressions can be built by creating variables and gluing them together arbitrarily with boolean operators:

  • NOT: - (unary)
  • AND: &
  • OR: |
  • XOR: ^
  • IMPLICATION >>

The solver class Minisat is used to solve the formula.

Note: the Minisat class creates two temporary files, so it needs write access to the system's temporary directory

The returned solution can be checked by reading the "success" boolean flag.

Then, the solution can be queried for variable assignments by using it like a dictionary. Note that Variable objects are used, not strings.

(This very example can be found in the examples directory)

Parsing Boolean expressions

It is also possible to create a Cnf object directly, without first creating Variable objects:

from satispy import CnfFromString
from satispy.solver import Minisat

exp, symbols = CnfFromString.create("v1 & v2 | v3")

solver = Minisat()

solution = solver.solve(exp)

if solution.success:
    print "Found a solution:"
    for symbol_name in symbols.keys():
        print "%s is %s" % (symbol_name, solution[symbols[symbol_name]])
else:
    print "The expression cannot be satisfied"

About

An interface to SAT solver tools (like minisat)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%