Python: Move dataflow tests out of experimental

This commit is contained in:
Rasmus Wriedt Larsen
2024-04-23 09:40:44 +02:00
parent 19974f04c9
commit ce711f7d2f
260 changed files with 0 additions and 0 deletions

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# Here we test the case where a captured variable is being written inside a library call.
# All functions starting with "test_" should run and execute `print("OK")` exactly once.
# This can be checked by running validTest.py.
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname((__file__))))
from testlib import expects
# These are defined so that we can evaluate the test code.
NONSOURCE = "not a source"
SOURCE = "source"
def is_source(x):
return x == "source" or x == b"source" or x == 42 or x == 42.0 or x == 42j
def SINK(x):
if is_source(x):
print("OK")
else:
print("Unexpected flow", x)
def SINK_F(x):
if is_source(x):
print("Unexpected flow", x)
else:
print("OK")
# Actual tests start here
@expects(2)
def test_library_call():
captured = {"x": NONSOURCE}
def set(x):
captured["x"] = SOURCE
return x
SINK_F(captured["x"])
for x in map(set, [1]):
pass
SINK(captured["x"]) #$ MISSING: captured