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URL: http://github.com/python/cpython/pull/148146/files

"https://github.githubassets.com/assets/primer-primitives-10bf9dd67e3d70bd.css" /> gh-100239: Propagate type info through _BINARY_OP_EXTEND in tier 2 by eendebakpt · Pull Request #148146 · python/cpython · GitHub
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gh-100239: Propagate type info through _BINARY_OP_EXTEND in tier 2 #148146

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Merged
Fidget-Spinner merged 1 commit into from
Apr 6, 2026
+67 −18
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gh-100239: Propagate type info through _BINARY_OP_EXTEND in tier 2 #148146

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7 changes: 7 additions & 0 deletions Include/internal/pycore_code.h
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Expand Up @@ -496,6 +496,13 @@ typedef struct {
int oparg;
binaryopguardfunc guard;
binaryopactionfunc action;
/* Static type of the result, or NULL if unknown. Used by the tier 2
optimizer to propagate type information through _BINARY_OP_EXTEND. */
PyTypeObject *result_type;
/* Nonzero iff `action` always returns a freshly allocated object (not
aliased to either operand). Used by the tier 2 optimizer to enable
inplace follow-up ops. */
int result_unique;
Comment on lines +502 to +505
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@Fidget-Spinner Fidget-Spinner Apr 6, 2026

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Isn't this always true?

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@eendebakpt eendebakpt Apr 6, 2026

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Yes, here it is. In the pr this was factored out from we had more specializations where this would not always be true.

We can remove it here and add back later. I think it would be needed of we use the binary_op_extend as s mechanism for adding more cases to tier 2 without creating more tier 1 opcodes

} _PyBinaryOpSpecializationDescr;

/* Comparison bit masks. */
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23 changes: 23 additions & 0 deletions Lib/test/test_capi/test_opt.py
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Expand Up @@ -3813,6 +3813,29 @@ def f(n):
self.assertIn("_UNPACK_SEQUENCE_TWO_TUPLE", uops)
self.assertNotIn("_GUARD_TOS_TUPLE", uops)

def test_binary_op_extend_float_result_enables_inplace_multiply(self):
# (2 + x) * y with x, y floats: `2 + x` goes through _BINARY_OP_EXTEND
# (int + float). The result_type/result_unique info should let the
# subsequent float multiply use the inplace variant.
def testfunc(n):
x = 3.5
y = 2.0
res = 0.0
for _ in range(n):
res = (2 + x) * y
return res

res, ex = self._run_with_optimizer(testfunc, TIER2_THRESHOLD)
self.assertEqual(res, 11.0)
self.assertIsNotNone(ex)
uops = get_opnames(ex)
self.assertIn("_BINARY_OP_EXTEND", uops)
self.assertIn("_BINARY_OP_MULTIPLY_FLOAT_INPLACE", uops)
self.assertNotIn("_BINARY_OP_MULTIPLY_FLOAT", uops)
# NOS guard on the multiply is eliminated because _BINARY_OP_EXTEND
# propagates PyFloat_Type.
self.assertNotIn("_GUARD_NOS_FLOAT", uops)

def test_unary_invert_long_type(self):
def testfunc(n):
for _ in range(n):
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3 changes: 3 additions & 0 deletions Misc/NEWS.d/next/Core_and_Builtins/2026-04-06-00-00-00.gh-issue-100239.binopxt.rst
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@@ -0,0 +1,3 @@
Propagate result type and uniqueness information through
``_BINARY_OP_EXTEND`` in the tier 2 optimizer, enabling elimination of
downstream type guards and selection of inplace float operations.
12 changes: 10 additions & 2 deletions Python/optimizer_bytecodes.c
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Expand Up @@ -410,8 +410,16 @@ dummy_func(void) {
}

op(_BINARY_OP_EXTEND, (descr/4, left, right -- res, l, r)) {
(void)descr;
res = sym_new_not_null(ctx);
_PyBinaryOpSpecializationDescr *d = (_PyBinaryOpSpecializationDescr *)descr;
if (d != NULL && d->result_type != NULL) {
res = sym_new_type(ctx, d->result_type);
if (d->result_unique) {
res = PyJitRef_MakeUnique(res);
}
}
else {
res = sym_new_not_null(ctx);
}
l = left;
r = right;
}
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12 changes: 10 additions & 2 deletions Python/optimizer_cases.c.h
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28 changes: 14 additions & 14 deletions Python/specialize.c
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Expand Up @@ -2195,24 +2195,24 @@ LONG_FLOAT_ACTION(compactlong_float_true_div, /)

static _PyBinaryOpSpecializationDescr binaryop_extend_descrs[] = {
/* long-long arithmetic */
{NB_OR, compactlongs_guard, compactlongs_or},
{NB_AND, compactlongs_guard, compactlongs_and},
{NB_XOR, compactlongs_guard, compactlongs_xor},
{NB_INPLACE_OR, compactlongs_guard, compactlongs_or},
{NB_INPLACE_AND, compactlongs_guard, compactlongs_and},
{NB_INPLACE_XOR, compactlongs_guard, compactlongs_xor},
{NB_OR, compactlongs_guard, compactlongs_or, &PyLong_Type, 1},
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@kumaraditya303 kumaraditya303 Apr 6, 2026

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These can return small int too right? In that case, the result would not be unique

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@eendebakpt eendebakpt Apr 6, 2026

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The contract is that operations making use of the uniqueness can handle small ints. (The inplace versions of BINARY_ADD_INT handle this for example).

{NB_AND, compactlongs_guard, compactlongs_and, &PyLong_Type, 1},
{NB_XOR, compactlongs_guard, compactlongs_xor, &PyLong_Type, 1},
{NB_INPLACE_OR, compactlongs_guard, compactlongs_or, &PyLong_Type, 1},
{NB_INPLACE_AND, compactlongs_guard, compactlongs_and, &PyLong_Type, 1},
{NB_INPLACE_XOR, compactlongs_guard, compactlongs_xor, &PyLong_Type, 1},

/* float-long arithemetic */
{NB_ADD, float_compactlong_guard, float_compactlong_add},
{NB_SUBTRACT, float_compactlong_guard, float_compactlong_subtract},
{NB_TRUE_DIVIDE, nonzero_float_compactlong_guard, float_compactlong_true_div},
{NB_MULTIPLY, float_compactlong_guard, float_compactlong_multiply},
{NB_ADD, float_compactlong_guard, float_compactlong_add, &PyFloat_Type, 1},
{NB_SUBTRACT, float_compactlong_guard, float_compactlong_subtract, &PyFloat_Type, 1},
{NB_TRUE_DIVIDE, nonzero_float_compactlong_guard, float_compactlong_true_div, &PyFloat_Type, 1},
{NB_MULTIPLY, float_compactlong_guard, float_compactlong_multiply, &PyFloat_Type, 1},

/* float-float arithmetic */
{NB_ADD, compactlong_float_guard, compactlong_float_add},
{NB_SUBTRACT, compactlong_float_guard, compactlong_float_subtract},
{NB_TRUE_DIVIDE, nonzero_compactlong_float_guard, compactlong_float_true_div},
{NB_MULTIPLY, compactlong_float_guard, compactlong_float_multiply},
{NB_ADD, compactlong_float_guard, compactlong_float_add, &PyFloat_Type, 1},
{NB_SUBTRACT, compactlong_float_guard, compactlong_float_subtract, &PyFloat_Type, 1},
{NB_TRUE_DIVIDE, nonzero_compactlong_float_guard, compactlong_float_true_div, &PyFloat_Type, 1},
{NB_MULTIPLY, compactlong_float_guard, compactlong_float_multiply, &PyFloat_Type, 1},
};

static int
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