gh-108511: Add C API functions which do not silently ignore errors#109025
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Add the following functions: * PyObject_HasAttrWithError() * PyObject_HasAttrStringWithError() * PyMapping_HasKeyWithError() * PyMapping_HasKeyStringWithError()
serhiy-storchaka requested review from kumaraditya303, markshannon and methane as code owners
methane approved these changes Sep 12, 2023
serhiy-storchaka deleted the PyObject_HasAttrWithError-PyMapping_HasKeyWithError branch 
bedevere-bot commented Sep 17, 2023
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bedevere-bot commented Sep 17, 2023
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bedevere-bot commented Sep 17, 2023
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bedevere-bot commented Sep 17, 2023
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bedevere-bot commented Sep 17, 2023
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bedevere-bot commented Sep 17, 2023
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bedevere-bot commented Sep 17, 2023
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vstinner commented Sep 18, 2023
I wrote a first PR to add PyMapping_HasKeyWithError() and PyMapping_HasKeyStringWithError() functions to pythoncapi-compat: python/pythoncapi-compat#73 |
csm10495 pushed a commit to csm10495/cpython that referenced this pull request Sep 28, 2023
…ors (pythonGH-109025) Add the following functions: * PyObject_HasAttrWithError() * PyObject_HasAttrStringWithError() * PyMapping_HasKeyWithError() * PyMapping_HasKeyStringWithError()
scoder reviewed Oct 15, 2023
| Return ``1`` if the mapping object has the key *key* and ``0`` otherwise. | ||
| This is equivalent to the Python expression ``key in o``. | ||
| On failure, return ``-1``. |
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Given the relevance of error handling for these new functions, I think the docs should mention explicitly under which conditions users must expect exceptions.
Suggested change
| On failure, return ``-1``. | |
| On failure, return ``-1`` with an exception set. |
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Sometimes I write "On error, raise an exception and return -1." Even if in C, technically, it's more "setting" an exception, I like to use Python "raise" semantics in C, it's easy for me to map C/Python this way :-)
| Returns ``1`` if *o* has the attribute *attr_name*, and ``0`` otherwise. | ||
| This is equivalent to the Python expression ``hasattr(o, attr_name)``. | ||
| On failure, return ``-1``. |
Contributor
There was a problem hiding this comment.
Given the relevance of error handling for these new functions, I think the docs should mention explicitly under which conditions users must expect exceptions.
Suggested change
| On failure, return ``-1``. | |
| On failure, return ``-1`` with an exception set. |
gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 19, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 19, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 20, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 20, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 20, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 27, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 27, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 27, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request May 27, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511gmarkall added a commit to NVIDIA/numba-cuda that referenced this pull request May 27, 2025
The simulator needs to be tested with Python 3.12 - it presently does not fully work on Python 3.13 due to the change in behaviour for `PyObject_HasAttr()` to no longer silently ignore all errors as it did previously. Numba's typecode fingerprinting calls something which is approximately `PyObject_HasAttr("_numba_type_")` on NumPy arrays during some execution paths of the simulator, which causes NumPy to raise `ValueError("no field of name _numba_type_")`. Since Python 3.13 this causes masses of warnings to be raised that flood the output. References: - Python 3.12 `PyObject_HasAttr()`: https://docs.python.org/3.12/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods are silently ignored." - Python 3.13 `PyObject_HasAttr()`: https://docs.python.org/3.13/c-api/object.html#c.PyObject_HasAttr > "Exceptions that occur when this calls __getattr__() and > __getattribute__() methods aren’t propagated, but instead given to > sys.unraisablehook(). For proper error handling, use > PyObject_HasAttrWithError(), ..." - CPython commit adding the recommended functions: python/cpython#109025 - CPython issue: python/cpython#108511Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment
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Add the following functions:
📚 Documentation preview 📚: https://cpython-previews--109025.org.readthedocs.build/