self._classes_by_name = dict((c.name, c) for c in classes)
for avm_class in classes:
- u30() # cinit
+ avm_class.cinit_idx = u30()
trait_count = u30()
for _c2 in range(trait_count):
trait_methods, trait_constants = parse_traits_info()
# Method bodies
method_body_count = u30()
Method = collections.namedtuple('Method', ['code', 'local_count'])
+ self._all_methods = []
for _c in range(method_body_count):
method_idx = u30()
u30() # max_stack
u30() # max_scope_depth
code_length = u30()
code = read_bytes(code_length)
+ m = Method(code, local_count)
+ self._all_methods.append(m)
for avm_class in classes:
if method_idx in avm_class.method_idxs:
- m = Method(code, local_count)
avm_class.methods[avm_class.method_idxs[method_idx]] = m
exception_count = u30()
for _c2 in range(exception_count):
def patch_function(self, avm_class, func_name, f):
self._patched_functions[(avm_class, func_name)] = f
- def extract_class(self, class_name):
+ def extract_class(self, class_name, call_cinit=True):
try:
- return self._classes_by_name[class_name]
+ res = self._classes_by_name[class_name]
except KeyError:
raise ExtractorError('Class %r not found' % class_name)
+ if call_cinit and hasattr(res, 'cinit_idx'):
+ res.register_methods({'$cinit': res.cinit_idx})
+ res.methods['$cinit'] = self._all_methods[res.cinit_idx]
+ cinit = self.extract_function(res, '$cinit')
+ cinit([])
+
+ return res
+
def extract_function(self, avm_class, func_name):
p = self._patched_functions.get((avm_class, func_name))
if p:
obj = stack.pop()
assert isinstance(obj, list)
stack.append(obj[idx])
+ elif opcode == 104: # initproperty
+ index = u30()
+ value = stack.pop()
+ idx = self.multinames[index]
+ if isinstance(idx, _Multiname):
+ idx = stack.pop()
+ obj = stack.pop()
+ obj[idx] = value
elif opcode == 115: # convert_
value = stack.pop()
intvalue = int(value)