def print_trace(self, hts, model, length, map_function=None, find_loop=False, abstract_clock_list=None):
abstract_clock = (abstract_clock_list is not None) and (len(abstract_clock_list) > 0)
if abstract_clock:
(model, length) = revise_abstract_clock(model, abstract_clock_list)
trace = []
prevass = []
# Initial state printing
trace.append("%sINIT%s"%(PRE_TRACE, POS_TRACE))
if self.all_vars:
varlist = list(hts.vars)
else:
varlist = list(hts.input_vars.union(hts.output_vars))
if self.prop_vars is not None:
varlist = list(set(varlist).union(set(self.prop_vars)))
strvarlist = [(map_function(var[0]), var[1]) for var in sort_system_variables(varlist, True) if not self.is_hidden(var[0])]
for var in strvarlist:
var_0 = TS.get_timed(var[1], 0)
if var_0 not in model:
prevass.append((var[0], None))
continue
varass = (var[0], model[var_0])
if (self.values_base == TraceValuesBase.HEX) and (var[1].symbol_type().is_bv_type()):
varass = (varass[0], "%d'h%s"%(var[1].symbol_type().width, dec_to_hex(varass[1].constant_value(), int(var[1].symbol_type().width/4))))
if (self.values_base == TraceValuesBase.BIN) and (var[1].symbol_type().is_bv_type()):
varass = (varass[0], "%d'b%s"%(var[1].symbol_type().width, dec_to_bin(varass[1].constant_value(), int(var[1].symbol_type().width))))
if self.diff_only: prevass.append(varass)
trace.append(" I: %s = %s"%(varass[0], varass[1]))
if self.diff_only: prevass = dict(prevass)
# Success state printing
for t in range(length):
trace.append("\n%s%s %d%s"%(PRE_TRACE, STATE, t+1, POS_TRACE))
for var in strvarlist:
var_t = TS.get_timed(var[1], t+1)
if var_t not in model:
continue
varass = (var[0], model[var_t])
if (self.values_base == TraceValuesBase.HEX) and (var[1].symbol_type().is_bv_type()):
varass = (varass[0], "%d'h%s"%(var[1].symbol_type().width, dec_to_hex(varass[1].constant_value(), int(var[1].symbol_type().width/4))))
if (self.values_base == TraceValuesBase.BIN) and (var[1].symbol_type().is_bv_type()):
varass = (varass[0], "%d'b%s"%(var[1].symbol_type().width, dec_to_bin(varass[1].constant_value(), int(var[1].symbol_type().width))))
if (not self.diff_only) or (prevass[varass[0]] != varass[1]):
trace.append(" S%s: %s = %s"%(t+1, varass[0], varass[1]))
if self.diff_only: prevass[varass[0]] = varass[1]
if find_loop:
last_state = [(var[0], model[TS.get_timed(var[1], length)]) for var in strvarlist]
last_state.sort()
loop_id = -1
for i in range(length):
state_i = [(var[0], model[TS.get_timed(var[1], i)]) for var in strvarlist]
state_i.sort()
if state_i == last_state:
loop_id = i
break
if loop_id >= 0:
end = ("STATE %s"%loop_id) if loop_id > 0 else "INIT"
trace.append("\n---> %s (Loop) <---"%(end))
strtrace = NL.join(trace)
trace = Trace(strtrace, length)
trace.human_readable = True
return trace
def print_trace(self,
hts,
model,
length,
map_function=None,
abstract_clock_list=None):
abstract_clock = (abstract_clock_list
is not None) and (len(abstract_clock_list) > 0)
if abstract_clock:
(model, length) = revise_abstract_clock(model, abstract_clock_list)
ret = []
ret.append("$date")
ret.append(datetime.datetime.now().strftime('%A %Y/%m/%d %H:%M:%S'))
ret.append("$end")
ret.append("$version")
ret.append("CoSA")
ret.append("$end")
ret.append("$timescale")
ret.append("1 ns")
ret.append("$end")
def _recover_array(store_ops):
d = {}
x = store_ops
while len(x.args()) == 3:
next_x, k, v = x.args()
x = next_x
if k.constant_value() not in d:
d[k.constant_value()] = v.constant_value()
return d
# TODO, use model[v].array_value_assigned_values_map()
# to get all the array values for a counterexample trace
model = dict([
(v.symbol_name(), model[v].constant_value() if
not v.symbol_type().is_array_type() else _recover_array(model[v]))
for v in model
])
# These are the pysmt array vars
arr_vars = list(
filter(lambda v: v.symbol_type().is_array_type(), hts.vars))
# Figure out which indices are used over all time
arr_used_indices = {}
for av in arr_vars:
name = av.symbol_name()
indices = set()
for t in range(length + 1):
tname = TS.get_timed_name(map_function(name), t)
indices |= set((k for k in model[tname]))
arr_used_indices[name] = indices
# These are the vcd vars (Arrays get blown out)
varlist = []
arr_varlist = []
idvar = 0
var2id = {}
for v in sort_system_variables(hts.vars):
n = map_function(v.symbol_name())
if self.is_hidden(v.symbol_name()):
continue
if v.symbol_type() == BOOL:
varlist.append((n, 1))
var2id[n] = idvar
idvar += 1
elif v.symbol_type().is_bv_type():
varlist.append((n, v.symbol_type().width))
var2id[n] = idvar
idvar += 1
elif v.symbol_type().is_array_type():
idxtype = v.symbol_type().index_type
elemtype = v.symbol_type().elem_type
for idx in arr_used_indices[n]:
indexed_name = n + "[%i]" % idx
arr_varlist.append((indexed_name, elemtype.width))
var2id[indexed_name] = idvar
idvar += 1
else:
Logger.error("Unhandled type in VCD printer")
for el in varlist + arr_varlist:
(varname, width) = el
idvar = var2id[varname]
if self.hierarchical:
varname = varname.split(SEP)
for scope in varname[:-1]:
ret.append("$scope module %s $end" % scope)
ret.append("$var reg %d v%s %s[%d:0] $end" %
(width, idvar, varname[-1], width - 1))
for scope in range(len(varname) - 1):
ret.append("$upscope $end")
else:
varname = varname.replace(SEP, VCD_SEP)
ret.append("$var reg %d v%s %s[%d:0] $end" %
(width, idvar, varname, width - 1))
ret.append("$upscope $end")
ret.append("$upscope $end")
ret.append("$enddefinitions $end")
for t in range(length + 1):
ret.append("#%d" % t)
for el in varlist:
(varname, width) = el
tname = TS.get_timed_name(varname, t)
val = model[tname] if tname in model else 0
ret.append("b%s v%s" %
(dec_to_bin(val, width), var2id[varname]))
for a in arr_vars:
name = a.symbol_name()
width = a.symbol_type().elem_type.width
tname = TS.get_timed_name(name, t)
m = model[tname]
for i, v in m.items():
vcdname = name + "[%i]" % i
ret.append("b%s v%s" %
(dec_to_bin(v, width), var2id[vcdname]))
# make the last time step visible
# also important for correctness, gtkwave sometimes doesn't read the
# last timestep's values correctly without this change
ret.append("#%d" % (t + 1))
return Trace(NL.join(ret), length)
def print_trace(self, hts, model, length, map_function=None, abstract_clock_list=None):
abstract_clock = (abstract_clock_list is not None) and (len(abstract_clock_list) > 0)
if abstract_clock:
(model, length) = revise_abstract_clock(model, abstract_clock_list)
ret = []
ret.append("$date")
ret.append(datetime.datetime.now().strftime('%A %Y/%m/%d %H:%M:%S'))
ret.append("$end")
ret.append("$version")
ret.append("CoSA")
ret.append("$end")
ret.append("$timescale")
ret.append("1 ns")
ret.append("$end")
def _recover_array(array_model):
# arrays are represented as a tuple of FNodes with
# (previous, key, value, key, value, ...)
# where previous can itself be another array
args = array_model.args()
# populate a stack of values to process
stack = []
while len(args) > 1:
assert len(args)%2 == 1
stack.append(args[1:])
if not args[0].is_constant():
args = args[0].args()
else:
args = [args[0]]
break
symbolic_default = args[0]
if symbolic_default.get_type().is_array_type():
symbolic_default = symbolic_default.array_value_default()
if symbolic_default.get_type().is_array_type():
Logger.error("Nested arrays are not supported in VCD output yet")
assert symbolic_default.is_constant()
default_val = symbolic_default.constant_value()
assignments = dict()
while stack:
args = stack.pop()
for a, v in zip([a.constant_value() for a in args[0::2]],
[v.constant_value() for v in args[1::2]]):
assignments[a] = v
if self.all_vars:
assignments[ALLIDX] = default_val
return assignments
model = dict([(v.symbol_name(), model[v].constant_value()
if not v.symbol_type().is_array_type()
else _recover_array(model[v])) for v in model])
# These are the pysmt array vars
arr_vars = list(filter(lambda v: v.symbol_type().is_array_type(), hts.vars))
# Figure out which indices are used over all time
arr_used_indices = {}
for av in arr_vars:
name = av.symbol_name()
indices = set()
for t in range(length+1):
tname = TS.get_timed_name(map_function(name), t)
if tname in model:
indices |= set((k for k in model[tname] if k != ALLIDX))
arr_used_indices[name] = indices
# These are the vcd vars (Arrays get blown out)
varlist = []
arr_varlist = []
idvar = 0
var2id = {}
for v in sort_system_variables(hts.vars):
n = map_function(v.symbol_name())
if self.is_hidden(v.symbol_name()):
continue
if v.symbol_type() == BOOL:
varlist.append((n, 1))
var2id[n] = idvar
idvar += 1
elif v.symbol_type().is_bv_type():
varlist.append((n, v.symbol_type().width))
var2id[n] = idvar
idvar += 1
elif v.symbol_type().is_array_type():
idxtype = v.symbol_type().index_type
elemtype = v.symbol_type().elem_type
if self.all_vars and idxtype.is_bv_type():
idxrange = range(2**idxtype.width)
else:
idxrange = arr_used_indices[n]
for idx in idxrange:
indexed_name = n + "[%i]"%idx
arr_varlist.append((indexed_name, elemtype.width))
var2id[indexed_name] = idvar
idvar += 1
else:
Logger.error("Unhandled type in VCD printer")
ret.append("$scope module top $end")
for el in varlist + arr_varlist:
(varname, width) = el
idvar = var2id[varname]
if self.hierarchical:
varname = varname.split(SEP)
for scope in varname[:-1]:
ret.append("$scope module %s $end"%scope)
ret.append("$var reg %d v%s %s[%d:0] $end"%(width, idvar, varname[-1], width-1))
for scope in range(len(varname)-1):
ret.append("$upscope $end")
else:
varname = varname.replace(SEP, VCD_SEP)
ret.append("$var reg %d v%s %s[%d:0] $end"%(width, idvar, varname, width-1))
ret.append("$upscope $end")
ret.append("$enddefinitions $end")
for t in range(length+1):
ret.append("#%d"%t)
for el in varlist:
(varname, width) = el
tname = TS.get_timed_name(varname, t)
val = model[tname] if tname in model else 0
ret.append("b%s v%s"%(dec_to_bin(val, width), var2id[varname]))
for a in arr_vars:
name = a.symbol_name()
width = a.symbol_type().elem_type.width
tname = TS.get_timed_name(name, t)
if self.all_vars:
m = model[tname]
for i in set(range(2**a.symbol_type().index_type.width)) - m.keys():
vcdname = name + "[%i]"%i
ret.append("b%s v%s"%(dec_to_bin(m[ALLIDX],width),var2id[vcdname]))
del m[ALLIDX]
for i, v in m.items():
vcdname = name + "[%i]"%i
ret.append("b%s v%s"%(dec_to_bin(v,width),var2id[vcdname]))
elif tname in model:
for i, v in model[tname].items():
vcdname = name + "[%i]"%i
ret.append("b%s v%s"%(dec_to_bin(v,width),var2id[vcdname]))
# make the last time step visible
# also important for correctness, gtkwave sometimes doesn't read the
# last timestep's values correctly without this change
ret.append("#%d"%(t+1))
return Trace(NL.join(ret), length)
def __print_single_ts(self, ts, ftrans=False):
has_comment = len(ts.comment) > 0
if has_comment:
lenstr = len(ts.comment)+3
self.write("\n%s\n"%("-"*lenstr))
self.write("# %s\n"%ts.comment)
self.write("%s\n"%("-"*lenstr))
sections = [("INPUT", ts.input_vars),\
("OUTPUT", ts.output_vars),\
("STATE", ts.state_vars),\
("VAR", [x for x in ts.vars if x not in list(ts.state_vars)+list(ts.input_vars)+list(ts.output_vars)])]
for (sname, vars) in sections:
if len(vars) > 0: self.write("%s\n"%sname)
varsort = sort_system_variables(vars)
for var in varsort:
sname = self.names(var.symbol_name())
if var.symbol_type() == BOOL:
self.write("%s : Bool;\n"%(sname))
else:
self.write("%s : BV(%s);\n"%(sname, var.symbol_type().width))
self.write("\n")
sections = [((ts.init),"INIT"), ((ts.invar),"INVAR"), ((ts.trans),"TRANS")]
for (formula, keyword) in sections:
if formula not in [TRUE(), FALSE()]:
self.write("%s\n"%keyword)
cp = list(conjunctive_partition(formula))
if self.simplify:
cp = self._simplify_cp(cp)
cp = [x for x in cp if x.is_equals()]+[x for x in cp if not x.is_equals()]
for i in range(len(cp)):
f = cp[i]
if self.simplify:
f = simplify(f)
if f == TRUE():
continue
self.printer(f)
self.write(";\n")
if f == FALSE():
break
self.write("\n")
if ftrans:
if ts.ftrans is not None:
self.write("FUNC\n")
for var, var_ass in ts.ftrans.items():
self.printer(var)
self.write(" :=")
for cond, value in var_ass:
self.write(" {")
self.printer(cond)
self.write(", ")
self.printer(value)
self.write("}")
self.write(";\n")
if has_comment:
self.write("\n%s\n"%("-"*lenstr))
