Files
codeql/python/ql/test/experimental/dataflow/calls/test.py
Rasmus Wriedt Larsen 5cd08b8e8c Python: Ignore .isAbsent() from ClassCall
This means that DataFlowCall is only for resolvable calls, which might not seem
like a big thing in itself, but enables the next commit to actually work :P
2022-02-03 14:58:30 +01:00

38 lines
948 B
Python

# A very basic test of DataFlowCall
#
# see `coverage/argumentRoutingTest.ql` for a more in depth test of argument routing
# handling.
def func(arg):
pass
class MyClass(object):
def __init__(self, arg):
pass
def my_method(self, arg):
pass
def __getitem__(self, key):
pass
func("foo") # $ call=func(..) qlclass=FunctionCall arg_0="foo"
x = MyClass(1) # $ call=MyClass(..) qlclass=ClassCall arg_0=[pre]MyClass(..) arg_1=1
x.my_method(2) # $ call=x.my_method(..) qlclass=MethodCall arg_0=x arg_1=2
mm = x.my_method
mm(2) # $ call=mm(..) qlclass=MethodCall arg_1=2 MISSING: arg_0=x
x[3] # $ call=x[3] qlclass=SpecialCall arg_0=x arg_1=3
try:
# These are included to show how we handle absent things with points-to where
# `mypkg.foo` is a `missing module variable`, but `mypkg.subpkg.bar` is compeltely
# ignored.
import mypkg
mypkg.foo(42)
mypkg.subpkg.bar(43)
except:
pass