mirror of
https://github.com/Z3Prover/z3
synced 2025-10-31 03:32:28 +00:00
36 lines
849 B
Python
36 lines
849 B
Python
from z3 import *
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from multiprocessing.pool import ThreadPool
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from copy import deepcopy
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pool = ThreadPool(8)
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x = Int('x')
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assert x.ctx == main_ctx()
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def calculate(x, n, ctx):
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""" Do a simple computation with a context"""
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assert x.ctx == ctx
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assert x.ctx != main_ctx()
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# Parallel creation of z3 object
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condition = And(x < 2, x > n, ctx)
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# Parallel solving
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solver = Solver(ctx=ctx)
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solver.add(condition)
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solver.check()
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for i in range(100):
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# Create new context for the computation
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# Note that we need to do this sequentially, as parallel access to the current context or its objects
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# will result in a segfault
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i_context = Context()
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x_i = deepcopy(x).translate(i_context)
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# Kick off parallel computation
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pool.apply_async(calculate, [x_i, i, i_context])
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pool.close()
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pool.join()
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