z3py, give random solution using seed

Question

from z3 import *

a = Int('a')

s = Solver()
s.add(a > 0)
set_option('smt.arith.random_initial_value', True)
set_option('auto_config', False)
set_option('smt.phase_selection', 5)
set_option('smt.random_seed', 1)

while s.check() == sat:
    m = s.model()
    print m[a]
    s.add(a != m[a])

The result is

1
2
3
4
5
...

How can I make the random work? Please provide an example in Python using z3py... I already know how to do this in smt... But I am having a real hard time figuring it out how to translate the smt script to python.

Does this answer your question? [Z3py, random different solution generation](https://stackoverflow.com/questions/60033332/z3py-random-different-solution-generation) — JohanC, Feb 03 '20 at 21:45

score 2 · Accepted Answer · answered Feb 03 '20 at 18:34

2

This seems to be a duplicate of Z3py, random different solution generation

Are you trying to ask a different question? Please modify the question if so, if not you can delete it.

answered Feb 03 '20 at 18:34

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z3py, give random solution using seed

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