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BUG: Fix segmentation fault #21436

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May 6, 2022
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7 changes: 7 additions & 0 deletions numpy/core/src/umath/ufunc_object.c
Original file line number Diff line number Diff line change
Expand Up @@ -5888,6 +5888,13 @@ ufunc_at(PyUFuncObject *ufunc, PyObject *args)

NPY_BEGIN_THREADS_DEF;

if (ufunc->core_enabled) {
PyErr_Format(PyExc_TypeError,
"numpy.ufunc.at does not support ufunc with non-trivial "\
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Just a nit, but the \ is not necessary :).

We could probably make the error message friendlier by printing out the ufunc name rather than "numpy.ufunc.at". The name is far more interesting than the actual core signature!

"signature: this ufunc has signature %s.", ufunc->core_signature);
return NULL;
}

if (ufunc->nin > 2) {
PyErr_SetString(PyExc_ValueError,
"Only unary and binary ufuncs supported at this time");
Expand Down
19 changes: 18 additions & 1 deletion numpy/core/tests/test_ufunc.py
Original file line number Diff line number Diff line change
Expand Up @@ -389,7 +389,7 @@ def test_signature8(self):
assert_equal(ixs, (0, 0, 0, 1, 2))
assert_equal(flags, (self.can_ignore, self.size_inferred, 0))
assert_equal(sizes, (3, -1, 9))

def test_signature9(self):
enabled, num_dims, ixs, flags, sizes = umt.test_signature(
1, 1, "( 3) -> ( )")
Expand Down Expand Up @@ -2002,6 +2002,23 @@ def test_inplace_fancy_indexing(self):
# Test multiple output ufuncs raise error, gh-5665
assert_raises(ValueError, np.modf.at, np.arange(10), [1])

# Test ufuncs with non-trivial signature raise a TypeError
a = np.ones((2, 2, 2))
b = np.ones((1, 2, 2))
assert_raises(TypeError, np.matmul.at, a, [0], b)

a = np.array([[[1, 2], [3, 4]]])
assert_raises(TypeError, np.linalg._umath_linalg.det.at, a, [0])
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These tests look good. But single test functions getting too long tends to be inconvenient. Could you make a new method for these two? Could just be something mentioning that gufuncs don't support at or so...


# Ufunc with None signature should work as intended
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I guess we should have tests for this already? So I think you can remove them again.
If you think they add something, just move them above to that long list for now...

a = np.array([1, 2, 3])
np.add.at(a, [0], 4)
assert_equal(np.array([5, 2, 3]), a)

a = np.array([1, 2, 3])
np.maximum.at(a, [0], 0)
assert_equal(np.array([1, 2, 3]), a)

def test_reduce_arguments(self):
f = np.add.reduce
d = np.ones((5,2), dtype=int)
Expand Down