Moved files to 'reactics-smt'

This commit is contained in:
Artur Meski
2019-03-03 22:26:00 +00:00
parent c3a19d81dc
commit 5eb8e3b63d
33 changed files with 0 additions and 0 deletions

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#from smt.smt_checker import SmtChecker
from smt.smt_checker_rs import SmtCheckerRS
from smt.smt_checker_rsc import SmtCheckerRSC
from smt.smt_checker_rsc_param import SmtCheckerRSCParam

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"""
SMT-based Model Checking Module for RS with Context Automaton
"""
from z3 import *
from time import time
from sys import stdout
import resource
class SmtCheckerRS(object):
def __init__(self, rsca):
rsca.sanity_check()
self.rs = rsca.rs
self.ca = rsca.ca
self.v = []
self.v_ctx = []
self.ca_state = []
self.next_level_to_encode = 0
self.solver = Solver()
self.verification_time = None
def prepare_all_variables(self):
"""Encodes all the variables"""
self.prepare_state_variables()
self.prepare_context_variables()
self.next_level_to_encode += 1
def prepare_context_variables(self):
"""Encodes all the context variables"""
level = self.next_level_to_encode
variables = []
for entity in self.rs.background_set:
variables.append(Bool("C"+str(level)+"_"+entity))
self.v_ctx.append(variables)
def prepare_rs_state_variables(self):
"""Encodes all the state variables of the reaction system"""
level = self.next_level_to_encode
variables = []
for entity in self.rs.background_set:
variables.append(Bool("L"+str(level)+"_"+entity))
self.v.append(variables)
def prepare_context_controller_variables(self):
"""Encodes all the variables required for controlling context sequences"""
level = self.next_level_to_encode
self.ca_state.append(Int("CA"+str(level)+"_state"))
def prepare_state_variables(self):
"""Encodes all the state variables"""
self.prepare_rs_state_variables()
self.prepare_context_controller_variables()
def enc_rs_init_state(self, level):
"""Encodes the initial state for the reaction system"""
rs_init_state_enc = True
for v in self.v[level]:
# the initial state is empty
rs_init_state_enc = simplify(And(rs_init_state_enc, Not(v)))
return rs_init_state_enc
def enc_context_controller_init_state(self, level):
"""Encodes the initial state for controlling context sequences"""
return self.ca_state[level] == self.ca.get_init_state_id()
def enc_init_state(self, level):
"""Encodes the initial state at the given level"""
init_state_enc = simplify(And(self.enc_rs_init_state(
level), self.enc_context_controller_init_state(level)))
return init_state_enc
def enc_enabledness(self, level, prod_entity):
"""Encodes the enabledness condition for a given level and a given entity"""
rcts_for_prod_entity = self.rs.get_reactions_by_product()[prod_entity]
if rcts_for_prod_entity == []:
return False
enc_rct_prod = False
for reactants, inhibitors in rcts_for_prod_entity:
enc_reactants = True
enc_inhibitors = True
for reactant in reactants:
enc_reactants = simplify(And(enc_reactants, Or(
self.v[level][reactant], self.v_ctx[level][reactant])))
for inhibitor in inhibitors:
enc_inhibitors = simplify(And(enc_inhibitors, Not(
Or(self.v[level][inhibitor], self.v_ctx[level][inhibitor]))))
enc_rct_prod = simplify(
Or(enc_rct_prod, And(enc_reactants, enc_inhibitors)))
return enc_rct_prod
def enc_entity_production(self, level, prod_entity):
"""Encodes the production of a given entity from a given level at level+1"""
enc_enab_cond = self.enc_enabledness(level, prod_entity)
enc_ent_prod = Or(
And(enc_enab_cond, self.v[level + 1][prod_entity]),
And(Not(enc_enab_cond),
Not(self.v[level + 1][prod_entity])))
return simplify(enc_ent_prod)
def enc_transition_relation(self, level):
"""Encodes the combined transition relation"""
return simplify(
And(self.enc_rs_trans(level),
self.enc_automaton_trans(level)))
def enc_rs_trans(self, level):
"""Encodes the transition relation"""
unused_entities = list(range(len(self.rs.background_set)))
enc_trans = True
for prod_entity in self.rs.get_reactions_by_product():
unused_entities.remove(prod_entity)
enc_trans = simplify(
And(enc_trans, self.enc_entity_production(level, prod_entity)))
for prod_entity in unused_entities:
enc_trans = simplify(
And(enc_trans, Not(self.v[level+1][prod_entity])))
return enc_trans
def enc_automaton_single_trans(self, level, transition):
src, ctx, dst = transition
src_enc = self.ca_state[level] == src
dst_enc = self.ca_state[level+1] == dst
all_ent = set(range(len(self.rs.background_set)))
incl_ctx = ctx
excl_ctx = all_ent - incl_ctx
ctx_enc = True
for c in incl_ctx:
ctx_enc = simplify(And(ctx_enc, self.v_ctx[level][c]))
for c in excl_ctx:
ctx_enc = simplify(And(ctx_enc, Not(self.v_ctx[level][c])))
enc_single_trans = simplify(And(src_enc, ctx_enc, dst_enc))
return enc_single_trans
def enc_automaton_trans(self, level):
"""Encodes the transition relation for the context automaton"""
enc_trans = False
for transition in self.ca.transitions:
enc_trans = simplify(
Or(enc_trans, self.enc_automaton_single_trans(level, transition)))
return enc_trans
def enc_state(self, level, state):
"""Encodes the state at the given level"""
enc = True
state_ids = self.rs.get_state_ids(state)
for entity in state_ids:
enc = And(enc, self.v[level][entity])
not_in_state = set(range(len(self.rs.background_set)))
not_in_state = not_in_state.difference(set(state_ids))
for entity in not_in_state:
enc = And(enc, Not(self.v[level][entity]))
return enc
def enc_non_exclusive_state(self, level, state):
"""Encodes the state at the given level"""
enc = True
state_ids = self.rs.get_state_ids(state)
for entity in state_ids:
enc = And(enc, self.v[level][entity])
return enc
def enc_state_with_blocking(self, level, prop):
"""Encodes the state at the given level with blocking certain concentrations"""
required, blocked = prop
enc = True
required_ids = self.rs.get_state_ids(required)
blocked_ids = self.rs.get_state_ids(blocked)
for e in required_ids:
enc = And(enc, self.v[level][e])
for e in blocked_ids:
enc = And(enc, Not(self.v[level][e]))
return simplify(enc)
def decode_witness(self, max_level, print_model=False):
m = self.solver.model()
if print_model:
print(m)
for level in range(max_level+1):
print("\n[Level=" + repr(level) + "]")
print(" State: {", end=""),
for var_id in range(len(self.v[level])):
if repr(m[self.v[level][var_id]]) == "True":
print(" " + self.rs.get_entity_name(var_id), end="")
print(" }")
if level != max_level:
print(" Context set: ", end="")
print("{", end="")
for var_id in range(len(self.v[level])):
if repr(m[self.v_ctx[level][var_id]]) == "True":
print(" " + self.rs.get_entity_name(var_id), end="")
print(" }")
def check_reachability(
self, state, print_witness=True, print_time=True, print_mem=True):
"""Main testing function"""
if not type(state) is tuple:
state = (state, [])
if print_time:
# start = time()
start = resource.getrusage(resource.RUSAGE_SELF).ru_utime
self.prepare_all_variables()
self.solver.add(self.enc_init_state(0))
current_level = 0
while True:
print("-----[ Working at level=" + str(current_level) + " ]-----")
stdout.flush()
self.prepare_all_variables()
# reachability test:
print("[i] Adding the reachability test...")
self.solver.push()
self.solver.add(self.enc_state_with_blocking(current_level, state))
result = self.solver.check()
if result == sat:
print("\n[+] SAT at level=" + str(current_level))
if print_witness:
self.decode_witness(current_level)
break
else:
self.solver.pop()
print("[i] Unrolling the transition relation")
self.solver.add(self.enc_transition_relation(current_level))
print("-----[ level=" + str(current_level) + " done ]")
current_level += 1
if print_time:
# stop = time()
stop = resource.getrusage(resource.RUSAGE_SELF).ru_utime
self.verification_time = stop-start
print()
print("[i] Time: " + repr(self.verification_time))
if print_mem:
print(
"[i] Memory: " +
repr(
resource.getrusage(resource.RUSAGE_SELF).ru_maxrss /
(1024 * 1024)) + " MB")
def get_verification_time(self):
return self.verification_time

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"""
SMT-based Model Checking Module for RS with Concentrations and Context Automaton
"""
from z3 import *
from time import time
from sys import stdout
from itertools import chain
import resource
from colour import *
from logics import rsLTL_Encoder
# def simplify(x):
# return x
class SmtCheckerRSC(object):
def __init__(self, rsca):
rsca.sanity_check()
if not rsca.is_with_concentrations():
raise RuntimeError("RS and CA with concentrations expected")
self.rs = rsca.rs
self.ca = rsca.ca
self.initialise()
def initialise(self):
"""Initialises all the variables used by the checker"""
self.v = []
self.v_ctx = []
self.ca_state = []
self.next_level_to_encode = 0
self.loop_position = Int("loop_position")
self.solver = Solver() # For("QF_FD")
self.verification_time = None
def reset(self):
"""Reinitialises the state of the checker"""
self.initialise()
def prepare_all_variables(self):
"""Encodes all the variables"""
self.prepare_state_variables()
self.prepare_context_variables()
self.next_level_to_encode += 1
def prepare_context_variables(self):
"""Encodes all the context variables"""
level = self.next_level_to_encode
variables = []
for entity in self.rs.background_set:
variables.append(Int("C"+str(level)+"_"+entity))
self.v_ctx.append(variables)
def prepare_state_variables(self):
"""Encodes all the state variables"""
level = self.next_level_to_encode
variables = []
for entity in self.rs.background_set:
variables.append(Int("L"+str(level)+"_"+entity))
self.v.append(variables)
self.ca_state.append(Int("CA"+str(level)+"_state"))
def enc_concentration_levels_assertion(self, level):
"""Encodes assertions that (some) variables need to be >0
We do not need to actually control all the variables,
only those that can possibly go below 0.
"""
enc_nz = True
for e_i in range(len(self.rs.background_set)):
v = self.v[level][e_i]
v_ctx = self.v_ctx[level][e_i]
e_max = self.rs.get_max_concentration_level(e_i)
enc_nz = simplify(
And(enc_nz, v >= 0, v_ctx >= 0, v <= e_max, v_ctx <= e_max))
return enc_nz
def enc_init_state(self, level):
"""Encodes the initial state at the given level"""
rs_init_state_enc = True
for v in self.v[level]:
# the initial concentration levels are zeroed
rs_init_state_enc = simplify(And(rs_init_state_enc, v == 0))
ca_init_state_enc = self.ca_state[level] == self.ca.get_init_state_id()
init_state_enc = simplify(And(rs_init_state_enc, ca_init_state_enc))
return init_state_enc
def enc_produced_concentration(self, level, prod_entity):
"""Encodes the produced concentrations for the given level and entity"""
rcts_for_prod_entity = []
if prod_entity in self.rs.get_reactions_by_product():
rcts_for_prod_entity = self.rs.get_reactions_by_product()[
prod_entity]
meta_reactions = []
if prod_entity in self.rs.meta_reactions:
meta_reactions = self.rs.meta_reactions[prod_entity]
permanency_inhibition = None
if prod_entity in self.rs.permanent_entities:
permanency_inhibition = self.rs.permanent_entities[prod_entity]
if rcts_for_prod_entity == [] and meta_reactions == []:
# this should never happen
return simplify(self.v[level+1][prod_entity] == 0)
enc_enabledness = False
# ----------- ordinary reactions --------------------------------------------
enc_rct_prod = False
enc_ordinary_reactions_enabledness = False
for reactants, inhibitors, products in rcts_for_prod_entity:
enc_reactants = True
for reactant, concentration in reactants:
enc_reactants = simplify(And(enc_reactants, Or(
self.v[level][reactant] >= concentration, self.v_ctx[level][reactant] >= concentration)))
enc_inhibitors = True
for inhibitor, concentration in inhibitors:
enc_inhibitors = simplify(And(enc_inhibitors, And(
self.v[level][inhibitor] < concentration, self.v_ctx[level][inhibitor] < concentration)))
enc_rct_enabled = And(enc_reactants, enc_inhibitors)
enc_products = self.v[level+1][products[0][0]] == products[0][1]
enc_rct_prod = simplify(
If(enc_rct_enabled, enc_products, enc_rct_prod))
enc_enabledness = simplify(Or(enc_enabledness, enc_rct_enabled))
enc_ordinary_reactions_enabledness = simplify(
Or(enc_ordinary_reactions_enabledness, enc_rct_enabled))
# -------- meta reactions ---------------------------------------------------
for r_type, command_entity, reactants, inhibitors in meta_reactions:
# command entity is e.g. 'inc' for incrementation operation
# (inc,W) gives us the value W by which the given entity's value should be incremented
enc_reactants = True
enc_inhibitors = True
for reactant, concentration in reactants:
enc_reactants = simplify(And(enc_reactants, Or(
self.v[level][reactant] >= concentration, self.v_ctx[level][reactant] >= concentration)))
# command entity needs to be present (with concentration level > 0) in order to perform the operation
enc_reactants = simplify(And(enc_reactants, Or(
self.v[level][command_entity] > 0, self.v_ctx[level][command_entity] > 0)))
for inhibitor, concentration in inhibitors:
enc_inhibitors = simplify(And(enc_inhibitors, And(
self.v[level][inhibitor] < concentration, self.v_ctx[level][inhibitor] < concentration)))
if r_type == "inc":
value_after_inc = If(
self.v[level][prod_entity] > self.v_ctx[level]
[prod_entity],
self.v[level][prod_entity],
self.v_ctx[level][prod_entity]) + If(
self.v[level][command_entity] > self.
v_ctx[level][command_entity],
self.v[level][command_entity],
self.v_ctx[level][command_entity])
enc_products = self.v[level+1][prod_entity] == value_after_inc
elif r_type == "dec":
value_after_dec = simplify(
If(
self.v[level][prod_entity] >
self.v_ctx[level]
[prod_entity],
self.v[level][prod_entity],
self.v_ctx[level]
[prod_entity]) -
If(
self.v[level]
[command_entity] > self.
v_ctx[level][command_entity],
self.v[level]
[command_entity],
self.v_ctx[level]
[command_entity]))
enc_products = self.v[level+1][prod_entity] == If(
value_after_dec < 0, 0, value_after_dec)
else:
raise RuntimeError(
"Unknown meta-reaction type: " + repr(r_type))
enc_meta_reaction_enabledness = And(
enc_reactants, enc_inhibitors,
Not(enc_ordinary_reactions_enabledness))
enc_enabledness = simplify(
Or(enc_enabledness, enc_meta_reaction_enabledness))
enc_rct_prod = simplify(Or(enc_rct_prod, And(
enc_meta_reaction_enabledness, enc_products)))
# -----------------------------------------------------------------------------
if not permanency_inhibition == None:
enc_reactants = Or(self.v[level][prod_entity] >= concentration,
self.v_ctx[level][prod_entity] >= concentration)
enc_inhibitors = True
for inhibitor, concentration in permanency_inhibition:
enc_inhibitors = simplify(And(enc_inhibitors, And(
self.v[level][inhibitor] < concentration, self.v_ctx[level][inhibitor] < concentration)))
enc_products = simplify(
self.v[level + 1][prod_entity] ==
If(
self.v[level][prod_entity] > self.v_ctx[level]
[prod_entity],
self.v[level][prod_entity],
self.v_ctx[level][prod_entity]))
enc_permanency_enabledness = And(
enc_reactants, enc_inhibitors,
Not(enc_ordinary_reactions_enabledness))
enc_enabledness = simplify(
Or(enc_enabledness, enc_permanency_enabledness))
enc_permanency = And(enc_permanency_enabledness, enc_products)
enc_rct_prod = simplify(Or(enc_rct_prod, enc_permanency))
# -----------------------------------------------------------------------------
enc_when_to_produce_zero_conc = simplify(
And(Not(enc_enabledness), self.v[level+1][prod_entity] == 0))
enc_rct_prod = Or(enc_rct_prod, enc_when_to_produce_zero_conc)
return enc_rct_prod
def enc_transition_relation(self, level):
return simplify(
And(self.enc_rs_trans(level),
self.enc_automaton_trans(level)))
def enc_rs_trans(self, level):
"""Encodes the transition relation"""
unused_entities = set(range(len(self.rs.background_set)))
enc_trans = True
reactions = self.rs.get_reactions_by_product()
meta_reactions = self.rs.meta_reactions
for prod_entity in chain(reactions, meta_reactions):
unused_entities.discard(prod_entity)
enc_trans = simplify(
And(enc_trans, self.enc_produced_concentration(level, prod_entity)))
for prod_entity in unused_entities:
enc_trans = simplify(
And(enc_trans, self.v[level+1][prod_entity] == 0))
return enc_trans
def enc_automaton_trans(self, level):
"""Encodes the transition relation for the context automaton"""
enc_trans = False
for src, ctx, dst in self.ca.transitions:
src_enc = self.ca_state[level] == src
dst_enc = self.ca_state[level+1] == dst
all_ent = set(range(len(self.rs.background_set)))
incl_ctx = set([e for e, c in ctx])
excl_ctx = all_ent - incl_ctx
ctx_enc = True
for e, c in ctx:
ctx_enc = simplify(And(ctx_enc, self.v_ctx[level][e] == c))
for e in excl_ctx:
ctx_enc = simplify(And(ctx_enc, self.v_ctx[level][e] == 0))
cur_trans = simplify(And(src_enc, ctx_enc, dst_enc))
enc_trans = simplify(Or(enc_trans, cur_trans))
return enc_trans
def enc_exact_state(self, level, state):
"""Encodes the state at the given level with the exact concentration values"""
raise RuntimeError("Should not be used with RSC")
def enc_min_state(self, level, state):
"""Encodes the state at the given level with the minimal required concentration levels"""
enc = True
for ent, conc in state:
e_id = self.rs.get_entity_id(ent)
enc = And(enc, self.v[level][e_id] >= conc)
return simplify(enc)
def enc_state_with_blocking(self, level, prop):
"""Encodes the state at the given level with blocking certain concentrations"""
required, blocked = prop
enc = True
for ent, conc in required:
e_id = self.rs.get_entity_id(ent)
enc = And(enc, self.v[level][e_id] >= conc)
for ent, conc in blocked:
e_id = self.rs.get_entity_id(ent)
enc = And(enc, self.v[level][e_id] < conc)
return simplify(enc)
def decode_witness(self, max_level, print_model=False):
m = self.solver.model()
if print_model:
print(m)
for level in range(max_level+1):
print("\n{: >70}".format("[ level=" + repr(level) + " ]"))
print(" State: {", end=""),
for var_id in range(len(self.v[level])):
var_rep = repr(m[self.v[level][var_id]])
if not var_rep.isdigit():
raise RuntimeError(
"unexpected: representation is not a positive integer")
if int(var_rep) > 0:
print(
" " + self.rs.get_entity_name(var_id) + "=" + var_rep,
end="")
# print(" " + repr(m[self.v[level][var_id]]), end="")
print(" }")
if level != max_level:
print(" Context set: ", end="")
print("{", end="")
for var_id in range(len(self.v[level])):
var_rep = repr(m[self.v_ctx[level][var_id]])
if not var_rep.isdigit():
raise RuntimeError(
"unexpected: representation is not a positive integer")
if int(var_rep) > 0:
print(
" " + self.rs.get_entity_name(var_id) + "=" + var_rep,
end="")
print(" }")
def check_rsltl(
self, formula, print_witness=True, print_time=True, print_mem=True,
max_level=None):
"""Bounded Model Checking for rsLTL properties"""
self.reset()
print("[" + colour_str(C_BOLD, "i") +
"] Running rsLTL bounded model checking")
print("[" + colour_str(C_BOLD, "i") + "] Formula: " + str(formula))
if print_time:
# start = time()
start = resource.getrusage(resource.RUSAGE_SELF).ru_utime
self.prepare_all_variables()
self.solver.add(self.enc_init_state(0))
self.current_level = 0
self.prepare_all_variables()
self.solver.add(self.enc_concentration_levels_assertion(0))
encoder = rsLTL_Encoder(self)
encoder.load_variables(
var_rs=self.v,
var_ctx=self.v_ctx,
var_loop_pos=self.loop_position)
while True:
self.prepare_all_variables()
self.solver.add(
self.enc_concentration_levels_assertion(
self.current_level + 1))
print(
"\n{:-^70}".format("[ Working at level=" + str(self.current_level) + " ]"))
stdout.flush()
# reachability test:
self.solver.push()
print("[" + colour_str(C_BOLD, "i") +
"] Generating the formula encoding...")
f = encoder.get_encoding(formula, self.current_level)
ncalls = encoder.get_ncalls()
print("[" + colour_str(C_BOLD, "i") + "] Cache hits: " +
str(encoder.get_cache_hits()) + ", encode calls: " +
str(ncalls[0]) + " (approx: " + str(ncalls[1]) + ")")
print("[" + colour_str(C_BOLD, "i") +
"] Adding the formula to the solver...")
encoder.flush_cache()
self.solver.add(f)
print("[" + colour_str(C_BOLD, "i") +
"] Adding the loops encoding...")
self.solver.add(self.get_loop_encodings())
result = self.solver.check()
if result == sat:
print(
"[" + colour_str(C_BOLD, "+") + "] " +
colour_str(
C_GREEN, "SAT at level=" + str(self.current_level)))
if print_witness:
print("\n{:=^70}".format("[ WITNESS ]"))
self.decode_witness(self.current_level)
break
else:
self.solver.pop()
print("[" + colour_str(C_BOLD, "i") +
"] Unrolling the transition relation")
self.solver.add(self.enc_transition_relation(self.current_level))
print(
"{:->70}".format("[ level=" + str(self.current_level) + " done ]"))
self.current_level += 1
if not max_level is None and self.current_level > max_level:
print("Stopping at level=" + str(max_level))
break
if print_time:
# stop = time()
stop = resource.getrusage(resource.RUSAGE_SELF).ru_utime
self.verification_time = stop-start
print()
print(
"\n[i] {: >60}".format(
" Time: " + repr(self.verification_time) + " s"))
if print_mem:
print(
"[i] {: >60}".format(
" Memory: " +
repr(
resource.getrusage(resource.RUSAGE_SELF).ru_maxrss /
(1024 * 1024)) + " MB"))
def dummy_unroll(self, levels):
"""Unrolls the variables for testing purposes"""
self.current_level = -1
for i in range(levels+1):
self.prepare_all_variables()
self.current_level += 1
print(C_MARK_INFO + " Dummy Unrolling done.")
def state_equality(self, level_A, level_B):
"""Encodes equality of two states at two different levels"""
eq_enc = True
for e_i in range(len(self.rs.background_set)):
e_i_equality = self.v[level_A][e_i] == self.v[level_B][e_i]
eq_enc = simplify(And(eq_enc, e_i_equality))
eq_enc_ctxaut = self.ca_state[level_A] == self.ca_state[level_B]
eq_enc = simplify(And(eq_enc, eq_enc_ctxaut))
return eq_enc
def get_loop_encodings(self):
k = self.current_level
loop_var = self.loop_position
loop_enc = True
"""
(loop_var == i) means that there is a loop taking back to the state (i-1)
Therefore, the encoding starts at 1, not at 0.
"""
for i in range(1, k+1):
loop_enc = simplify(And(loop_enc, Implies(
loop_var == i, self.state_equality(i-1, k))))
return loop_enc
def check_reachability(self, state, print_witness=True,
print_time=True, print_mem=True, max_level=1000):
"""Main testing function"""
self.reset()
if print_time:
# start = time()
start = resource.getrusage(resource.RUSAGE_SELF).ru_utime
self.prepare_all_variables()
self.solver.add(self.enc_init_state(0))
self.current_level = 0
self.prepare_all_variables()
self.solver.add(self.enc_concentration_levels_assertion(0))
while True:
self.prepare_all_variables()
self.solver.add(
self.enc_concentration_levels_assertion(
self.current_level + 1))
print(
"\n{:-^70}".format("[ Working at level=" + str(self.current_level) + " ]"))
stdout.flush()
# reachability test:
print("[" + colour_str(C_BOLD, "i") +
"] Adding the reachability test...")
self.solver.push()
self.solver.add(self.enc_state_with_blocking(
self.current_level, state))
result = self.solver.check()
if result == sat:
print(
"[" + colour_str(C_BOLD, "+") + "] " +
colour_str(
C_GREEN, "SAT at level=" + str(self.current_level)))
if print_witness:
print("\n{:=^70}".format("[ WITNESS ]"))
self.decode_witness(self.current_level)
break
else:
self.solver.pop()
print("[" + colour_str(C_BOLD, "i") +
"] Unrolling the transition relation")
self.solver.add(self.enc_transition_relation(self.current_level))
print(
"{:->70}".format("[ level=" + str(self.current_level) + " done ]"))
self.current_level += 1
if self.current_level > max_level:
print("Stopping at level=" + str(max_level))
break
if print_time:
# stop = time()
stop = resource.getrusage(resource.RUSAGE_SELF).ru_utime
self.verification_time = stop-start
print()
print(
"\n[i] {: >60}".format(
" Time: " + repr(self.verification_time) + " s"))
if print_mem:
print(
"[i] {: >60}".format(
" Memory: " +
repr(
resource.getrusage(resource.RUSAGE_SELF).ru_maxrss /
(1024 * 1024)) + " MB"))
def get_verification_time(self):
return self.verification_time
def show_encoding(self, state, print_witness=True,
print_time=False, print_mem=False, max_level=100):
"""Encoding debug function"""
self.reset()
self.prepare_all_variables()
init_s = self.enc_init_state(0)
print(init_s)
self.solver.add(init_s)
self.current_level = 0
self.prepare_all_variables()
while True:
self.prepare_all_variables()
print(
"-----[ Working at level=" + str(self.current_level) + " ]-----")
stdout.flush()
# reachability test:
print("[i] Adding the reachability test...")
self.solver.push()
s = self.enc_min_state(self.current_level, state)
print("Test: ", s)
self.solver.add(s)
result = self.solver.check()
if result == sat:
print(
"\n[+] " +
colour_str(
C_RED, "SAT at level=" + str(self.current_level)))
if print_witness:
self.decode_witness(self.current_level)
break
else:
self.solver.pop()
print("[i] Unrolling the transition relation")
t = self.enc_transition_relation(self.current_level)
print(t)
self.solver.add(t)
print("-----[ level=" + str(self.current_level) + " done ]")
self.current_level += 1
if self.current_level > max_level:
print("Stopping at level=" + str(max_level))
break
else:
x = input("Next level? ")
x = x.lower()
if not (x == "y" or x == "yes"):
break

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