`PyComplex_RealAsDouble()`/`PyComplex_ImagAsDouble` now try to convert
an object to a `complex` instance using its `__complex__()` method
before falling back to the ``__float__()`` method.
PyComplex_ImagAsDouble() also will not silently return 0.0 for
non-complex types anymore. Instead we try to call PyFloat_AsDouble()
and return 0.0 only if this call is successful.
Declare the following functions as macros, since they are actually
macros. It avoids a warning on "TYPE" or "macro" argument.
* PyMem_New()
* PyMem_Resize()
* PyModule_AddIntMacro()
* PyModule_AddStringMacro()
* PyObject_GC_New()
* PyObject_GC_NewVar()
* PyObject_New()
* PyObject_NewVar()
Add C standard C types to nitpick_ignore in Doc/conf.py:
* int64_t
* uint64_t
* uintptr_t
No longer ignore non existing "__int" type in nitpick_ignore.
Update Doc/tools/.nitignore
* Uncomment object removal in pairindextypes
* Use new-style index directive ('object') - C API
* Use new-style index directive ('object') - Library
* Use new-style index directive ('object') - Reference
* Use new-style index directive ('object') - Tutorial
I think that none of these API calls can fail, but only few of them are
documented as such. Add the sentence "This function always succeeds" (which is
the same already used e.g. by PyNumber_Check) to all of them.
Sergey B Kirpichev
sobolevn
Victor Stinner
Serhiy Storchaka
F3eQnxN3RriK
Adam Turner
Mark Dickinson
Antonio Cuni
Stéphane Wirtel
Victor Stinner
Antoine Pitrou
Georg Brandl