def optimize(self, env, compiler):
if self.has_side_effects:
return self.__class__(*optimize_args(self.args, env, compiler))
args = optimize_args(self.args, env, compiler)
free_vars = set()
for arg in args:
free_vars |= arg.free_vars()
for var in free_vars:
assign = None
try:
assign = env[var]
except:
pass
if assign is not None:
assign.dont_remove()
result = self.__class__(*args)
return result
def optimize(self, env, compiler):
caller = self.caller
args = optimize_args(self.args, env, compiler)
for arg in args:
if not isinstance(arg, Atom):
break
else:
return element(caller.operator_function(*tuple(arg.item for arg in args)))
return self.__class__(caller, args)
def optimize(self, env, compiler):
if self.has_side_effects:
return self.__class__(*optimize_args(self.args, env,compiler))
args = optimize_args(self.args, env,compiler)
free_vars = set()
for arg in args:
free_vars |= arg.free_vars()
for var in free_vars:
assign = None
try:
assign = env[var]
except:
pass
if assign is not None:
assign.dont_remove()
result = self.__class__(*args)
return result
def optimize(self, env, compiler):
caller = self.caller
args = optimize_args(self.args, env, compiler)
for arg in args:
if not isinstance(arg, Atom):
break
else:
return element(
caller.operator_function(*tuple(arg.item for arg in args)))
return self.__class__(caller, args)
