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.
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.
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)
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"