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BUG: Fix segmentation fault #21436

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merged 3 commits into from
May 6, 2022
Merged

BUG: Fix segmentation fault #21436

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73f0885
Fixed #21301
May 3, 2022
42f8ef7
Fixed #21436, better error message, organized test cases as requested
May 4, 2022
447635d
Update numpy/core/src/umath/ufunc_object.c
seberg May 5, 2022
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7 changes: 7 additions & 0 deletions numpy/core/src/umath/ufunc_object.c
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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.%s.at does not support ufunc with non-trivial signature: %s has signature %s.",
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ufunc->name, ufunc->name, ufunc->core_signature);
return NULL;
}

if (ufunc->nin > 2) {
PyErr_SetString(PyExc_ValueError,
"Only unary and binary ufuncs supported at this time");
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16 changes: 15 additions & 1 deletion numpy/core/tests/test_ufunc.py
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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 +2002,20 @@ 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 maximum
a = np.array([1, 2, 3])
np.maximum.at(a, [0], 0)
assert_equal(np.array([1, 2, 3]), a)

def test_at_not_none_signature(self):
# 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...


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