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Description
Bug report
This code raises a NameError with the JIT disabled, and succeeds with the JIT enabled:
import types
GLOBAL = 42
def make_f():
def f():
return GLOBAL
return f
make_f_with_bad_globals = types.FunctionType(make_f.__code__, {})
def jitted(funcs):
for func in funcs:
func()
def main():
# Make a "good" f:
f = make_f()
# Compile jitted for the "good" f:
jitted([f] * 4096)
# This "bad" f has different globals, but the *same* code/function versions:
f_with_bad_globals = make_f_with_bad_globals()
# A "good" f to enter the JIT code, and a "bad" f to trigger the bug:
jitted([f, f_with_bad_globals])
main()We're relying on the function version to guarantee the correct globals. Functions that are created from the same code object share the same function version, but don't necessarily share the same globals.
The fix is probably to insert runtime checks for the identity of the globals dictionary (instead of the function version) in remove_globals. An identity check is safe, since if the original globals dict is deallocated then the trace will be invalidated anyways.