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11 changes: 11 additions & 0 deletions Lib/test/test_capi/test_misc.py
Original file line number Diff line number Diff line change
Expand Up @@ -2341,6 +2341,17 @@ def long_loop():
long_loop()
self.assertEqual(opt.get_count(), 10)

def test_code_richcompare(self):
def testfunc(x):
i = 0
while i < x:
i += 1

opt = _testinternalcapi.get_counter_optimizer()
with temporary_optimizer(opt):
testfunc(1000)
self.assertEqual(testfunc.__code__, testfunc.__code__.replace())


def get_first_executor(func):
code = func.__code__
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17 changes: 17 additions & 0 deletions Objects/codeobject.c
Original file line number Diff line number Diff line change
Expand Up @@ -1781,8 +1781,25 @@ code_richcompare(PyObject *self, PyObject *other, int op)
for (int i = 0; i < Py_SIZE(co); i++) {
_Py_CODEUNIT co_instr = _PyCode_CODE(co)[i];
_Py_CODEUNIT cp_instr = _PyCode_CODE(cp)[i];

if (co_instr.op.code == ENTER_EXECUTOR) {
const int exec_index = co_instr.op.arg;
_PyExecutorObject *exec = co->co_executors->executors[exec_index];
co_instr.op.code = exec->vm_data.opcode;
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Comparing two code objects must not modify the code object.

The interaction between executor, the specializer and instrumentation is subtle and likely to break without care.
This will leak executors, as it flip-flops between JUMP_BACKWARDS and ENTER_EXECUTOR, or worse if an optimizer assumes that a single instruction will only be seen once.

co_instr.op.arg = exec->vm_data.oparg;
}
assert(co_instr.op.code != ENTER_EXECUTOR);
co_instr.op.code = _PyOpcode_Deopt[co_instr.op.code];

if (cp_instr.op.code == ENTER_EXECUTOR) {
const int exec_index = cp_instr.op.arg;
_PyExecutorObject *exec = cp->co_executors->executors[exec_index];
cp_instr.op.code = exec->vm_data.opcode;
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Likewise

cp_instr.op.arg = exec->vm_data.oparg;
}
assert(cp_instr.op.code != ENTER_EXECUTOR);
cp_instr.op.code = _PyOpcode_Deopt[cp_instr.op.code];

eq = co_instr.cache == cp_instr.cache;
if (!eq) {
goto unequal;
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