def __init__(self, logic,
spec_state_prefix, counters_postfix,
sys_state_type_by_process,
underlying_solver:SolverInterface):
self._underlying_solver = underlying_solver
self._logger = logging.getLogger(__name__)
self._logic = logic
self._spec_states_type = spec_state_prefix
self._la_q_name = 'q'
self._la_s_name = 's'
counters_inputs = {self._la_q_name: self._spec_states_type}
counters_inputs.update((self._la_s_name + str(i), s)
for (i, s) in enumerate(sys_state_type_by_process))
self._laB_func_desc = FuncDescription('laB' + counters_postfix, counters_inputs, 'Bool', None)
self._laC_func_desc = FuncDescription('laC' + counters_postfix, counters_inputs,
logic.counters_type(sys.maxsize),
None)
self._last_only_states = None
def _get_desc_is_active(
self,
proc_index: int): # TODO: should not dependent on proc_index!
#: :type: FuncDescription
sends_func = self.outvar_desc_by_process[proc_index][
self._sends_signals[proc_index]]
assert len(sends_func.inputs) == 1, 'consider easy case for now'
assert list(
sends_func.inputs
)[0][0] == self.state_arg_name, 'consider easy case for now'
sends_args = sends_func.get_args_list(
{self.state_arg_name: self.state_arg_name})
#: :type: QuantifiedSignal
sends_prev_signal = self._sends_prev_signals[proc_index]
sched_eq_proc_arg_by_signal = self._get_equal_func_args(
lmap(str, self._sched_signals), lmap(str, self._proc_signals))
sched_eq_proc_args = self._get_desc_equal_bools().get_args_list(
sched_eq_proc_arg_by_signal)
prev_is_sched_args = map(lambda signal_type: str(signal_type[0]),
self._get_desc_prev_next_is_sched(
True).inputs) # order is important
if self.nof_processes > 1:
body_template = '(or ({equal_bits} {sched_eq_proc_args}) \n' \
' (and {sends_prev} ({prev_is_sched} {prev_is_sched_args}) )' \
')'
else:
assert self.nof_processes == 1
body_template = '(or ({equal_bits} {sched_eq_proc_args}) \n' \
' {sends_prev})'
body = body_template.format_map({
'equal_bits':
self._EQUAL_BITS_NAME,
'sched_eq_proc_args':
' '.join(sched_eq_proc_args),
'prev_is_sched':
self._PREV_IS_SCHED_NAME,
'prev_is_sched_args':
' '.join(prev_is_sched_args),
'sends_prev':
str(sends_prev_signal),
'sends':
sends_func.name,
'sends_args':
' '.join(sends_args),
})
type_by_arg = dict([(sends_prev_signal, 'Bool')] +
self._sched_arg_type_pairs +
self._proc_arg_type_pairs)
description = FuncDescription(self._IS_ACTIVE_NAME, type_by_arg,
'Bool', body)
return description
def _get_taus_descs(self, inputs):
tau_desc = FuncDescription(
'tau',
dict([(self.state_arg_name, self._state_type)] +
[(s, 'Bool') for s in inputs]), self._state_type, None)
return [tau_desc]
def _build_tau_desc(self, model_inputs):
type_by_signal = dict([(self.state_arg_name, self._state_type)] +
[(s, 'Bool') for s in model_inputs])
tau_desc = FuncDescription(self._tau_name, type_by_signal,
self._state_type, None)
return tau_desc
def _get_desc_local_tau(self, local_tau_input_signals) -> FuncDescription:
type_by_arg = dict([(self.state_arg_name, self._state_type)] +
[(s, 'Bool') for s in local_tau_input_signals])
description = FuncDescription(self._TAU_NAME, type_by_arg,
self._state_type, None)
return description
def _build_outvar_descs(self, outputs, inputs):
descs = {}
for s in outputs:
type_by_signal = {self.state_arg_name: self._state_type}
if self.is_mealy:
type_by_signal.update((s, 'Bool') for s in inputs)
description = FuncDescription(s.name, type_by_signal, 'Bool', None)
descs[s] = description
return descs
def _get_desc_equal_bools(self):
cmp_stmnt = self.underlying_solver.op_and(
map(lambda p: '(= {0} {1})'.format(p[0], p[1]),
zip(self._equals_first_args, self._equals_second_args)))
body = '{cmp}'.format(cmp=cmp_stmnt)
inputname_to_type = dict([(s, 'Bool')
for s in self._equals_first_args] +
[(s, 'Bool')
for s in self._equals_second_args])
description = FuncDescription(self._EQUAL_BITS_NAME, inputname_to_type,
'Bool', body)
return description
def _build_func_model_from_smt(self, func_smt_lines, func_desc: FuncDescription) -> dict:
""" Return transition(output) graph {label:output}
"""
func_model = {}
for l in func_smt_lines:
# (get-value ((tau t0 true true)))
l = l.replace("get-value", "").replace("(", "").replace(")", "")
tokens = l.split()
if tokens[0] != func_desc.name:
continue
values = self._parse_values(tokens[1:]) # the very first - func_name
args = Label(func_desc.get_args_dict(values[:-1]))
func_model[args] = values[-1]
return func_model
def _do_desc_by_out(self, out_signals, is_mealy: bool,
model_inputs) -> dict:
desc_by_signal = dict()
for s_ in out_signals:
#: :type: QuantifiedSignal
s = s_
type_by_arg = {self.state_arg_name: self._state_type}
if is_mealy:
type_by_arg.update((s, 'Bool') for s in model_inputs)
desc_by_signal[s] = FuncDescription(s.name, type_by_arg, 'Bool',
None)
return desc_by_signal
def _build_func_model_from_smt(self, func_smt_lines, func_desc:FuncDescription) -> dict:
""" Return transition(output) graph {label:output}
"""
func_model = {}
for l in func_smt_lines:
# (get-value ((tau t0 true true)))
l = l.replace('get-value', '').replace('(', '').replace(')', '')
tokens = l.split()
if tokens[0] != func_desc.name:
continue
values = self._parse_values(tokens[1:]) # the very first - func_name
args = Label(func_desc.get_args_dict(values[:-1]))
func_model[args] = values[-1]
return func_model
def _build_desc_by_outvar(
self, output_signals, archi_outputs,
all_model_inputs): # TODO: mess -- self.arg vs arg to the function
desc_by_signal = dict()
for s_ in output_signals:
#: :type: QuantifiedSignal
s = s_
type_by_signal = {self.state_arg_name: self._state_type}
if self.is_mealy and s not in archi_outputs:
type_by_signal.update((s, 'Bool') for s in all_model_inputs)
desc_by_signal[s] = FuncDescription(s.name, type_by_signal, 'Bool',
None)
return desc_by_signal
def call_func(func_desc:FuncDescription, func_args_dict:dict):
func_name = func_desc.name
smt_func_args_dict = dict()
for (var,val) in func_args_dict.items():
if val is True:
val = true()
elif val is False:
val = false()
smt_func_args_dict[var] = val
func_args_dict = smt_func_args_dict
args = func_desc.get_args_list(func_args_dict) # TODO: bad dependence
smt_str = '(' + func_name + ' '
for arg in args:
smt_str += str(arg) + ' '
if len(args):
smt_str = smt_str[:-1]
smt_str += ')'
return smt_str
def call_func(func_desc: FuncDescription, func_args_dict: dict):
func_name = func_desc.name
smt_func_args_dict = dict()
for (var, val) in func_args_dict.items():
if val is True:
val = true()
elif val is False:
val = false()
smt_func_args_dict[var] = val
func_args_dict = smt_func_args_dict
args = func_desc.get_args_list(func_args_dict) # TODO: bad dependence
smt_str = '(' + func_name + ' '
for arg in args:
smt_str += str(arg) + ' '
if len(args):
smt_str = smt_str[:-1]
smt_str += ')'
return smt_str
def _get_desc_tau_sched_wrapper(self, proc_index: int,
all_models_inputs) -> FuncDescription:
local_tau_input_signals = _filter_by_proc(proc_index,
all_models_inputs)
local_tau_arg_type_pairs = self._get_desc_local_tau(
local_tau_input_signals).inputs
type_by_signal = dict(local_tau_arg_type_pairs +
self._sched_arg_type_pairs +
self._proc_arg_type_pairs)
local_tau_arg_type_pairs = list(
map(lambda signal_type: signal_type[0], local_tau_arg_type_pairs))
is_active_desc = self._get_desc_is_active(proc_index)
is_active_inputs = lmap(
lambda signal: signal[0], is_active_desc.inputs
) # TODO: hack: knowledge: var names are the same
body = """
(ite ({is_active} {is_active_inputs}) ({tau} {local_tau_inputs}) {state})
""".format_map({
'tau':
self._TAU_NAME,
'local_tau_inputs':
' '.join(map(str, local_tau_arg_type_pairs)),
'state':
self.state_arg_name,
'is_active':
self._IS_ACTIVE_NAME,
'is_active_inputs':
' '.join(map(str, is_active_inputs))
})
description = FuncDescription(self._TAU_SCHED_WRAPPER_NAME,
type_by_signal, self._state_type, body)
return description
def _get_desc_prev_next_is_sched(self, get_prev: bool):
enum_clauses = []
if get_prev:
accumulator = lambda prev, crt: self._accumulator(
prev, crt, enum_clauses)
func_name = self._PREV_IS_SCHED_NAME
else:
accumulator = lambda prev, crt: self._accumulator(
crt, prev, enum_clauses)
func_name = self._NEXT_IS_SCHED_NAME
self._ring_modulo_iterate(self.nof_processes, accumulator)
type_by_arg = dict(self._sched_arg_type_pairs +
self._proc_arg_type_pairs)
body = '(or {enum_clauses})'.format(
enum_clauses='\n\t'.join(enum_clauses))
description = FuncDescription(func_name, type_by_arg, 'Bool', body)
return description
