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GH-127809: Fix the JIT's understanding of **
#127844
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ltype == &PyLong_Type && rtype == &PyLong_Type) { | ||
/* If both inputs are ints and the op is not division the result is an int */ | ||
res = sym_new_type(ctx, &PyLong_Type); | ||
bool lhs_int = sym_matches_type(left, &PyLong_Type); |
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Could you please leave a comment at the top explaining what this is? Something like
(1, 1), # int ** int -> int
(1, -1), # int ** int -> float
(1, 1.0), # int ** float -> float
(-1, 0.1), # int ** float -> complex
(1.0, 1), # float ** int -> float
(1.0, 1.0), # float ** float -> float
(-1.0, 0.1), # float ** float -> complex
would suffice.
goto binary_op_done; | ||
} | ||
if (oparg == NB_POWER || oparg == NB_INPLACE_POWER) { | ||
// This one's fun: the *type* of the result depends on the *values* |
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I'm not convinced that this is worth the complexity for anything other than integer constant right hand sides.
It the rhs is an int constant, then the result is the type of the lhs (for ints and floats) otherwise, "not known".
Calculating any other result is so slow that the cost of the guard we could potentially remove is negligible.
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Doesn't a negative int rhs produce a float?
>>> 3 ** -1
0.3333333333333333
Your point may still stand that it's too expensive, but unfortunately the assumption that if rhs is an int we can determine the result without looking at the value doesn't hold.
It's more complex (ha) than we originally thought.
I think it's probably worth trying to do the "smart" thing here, since exponents with at least one constant part are reasonably common. But if others think the additional logic in the optimizer is too much, we can just say that the result of
**
an**=
is unknown (even when it may technically be knowable):The runtime cost would be an additional guard in JIT code following a
**
or**=
.**
is wrong #127809