Brandon Rozek

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PhD Student @ RPI studying Automated Reasoning in AI and Linux Enthusiast.

Z3 Constraint solving

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I’ve been looking for an easy to use constraint solver for a while and recently I’ve landed on using the python bindings for the SMT solver Z3.

To install:

pip install z3-solver

Let’s say you want to find non-negative solutions for the following Diophantine equation: $$ 9x - 100y = 1 $$ To do that, we import Z3, declare our integer variables, and pass it into a solve function:

from z3 import *
x, y = Ints("x y")
solve(9 * x - 100 * y == 1, x >= 0, y >= 0)

This will print out: [y = 8, x = 89]

If you want to use these values for later computations, you’ll have to setup a Z3 model:

from z3 import *
x, y = Ints("x y")
s = Solver
s.add(9 * x - 100 * y == 1)
s.add(x >= 0)
s.add(y >= 0)

m = s.model()
x_val = m.eval(x)
y_val = m.eval(y)
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