Build error with Numpy (Python 3.10) #390
Description
Python 3.10
Cython 3.0.5
numpy 1.26.1
numpy/core/src/multiarray/scalartypes.c.src: In function 'float_arrtype_hash':
numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of '_Py_HashDouble'
2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
In file included from /usr/include/python3.10/Python.h:77,
from numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: note: expected 'PyObject *' {aka 'struct _object *'} but argument is of type 'double'
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function '_Py_HashDouble'
2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
| ^~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:23: note: declared here
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In function 'cfloat_arrtype_hash':
numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of '_Py_HashDouble'
2975 | hashreal = _Py_HashDouble((double)
| ^~~~~~~~
| |
| double
2976 | PyArrayScalar_VAL(obj, C@name@).real);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:38: note: expected 'PyObject *' {aka 'struct _object *'} but argument is of type 'double'
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function '_Py_HashDouble'
2975 | hashreal = _Py_HashDouble((double)
| ^~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:23: note: declared here
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of '_Py_HashDouble'
2981 | hashimag = _Py_HashDouble((double)
| ^~~~~~~~
| |
| double
2982 | PyArrayScalar_VAL(obj, C@name@).imag);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:38: note: expected 'PyObject *' {aka 'struct _object *'} but argument is of type 'double'
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function '_Py_HashDouble'
2981 | hashimag = _Py_HashDouble((double)
| ^~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:23: note: declared here
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In function 'longdouble_arrtype_hash':
numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of '_Py_HashDouble'
2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
/usr/include/python3.10/pyhash.h:10:38: note: expected 'PyObject *' {aka 'struct _object *'} but argument is of type 'double'
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function '_Py_HashDouble'
2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
| ^~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:23: note: declared here
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In function 'clongdouble_arrtype_hash':
numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of '_Py_HashDouble'
2975 | hashreal = _Py_HashDouble((double)
| ^~~~~~~~
| |
| double
2976 | PyArrayScalar_VAL(obj, C@name@).real);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:38: note: expected 'PyObject *' {aka 'struct _object *'} but argument is of type 'double'
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function '_Py_HashDouble'
2975 | hashreal = _Py_HashDouble((double)
| ^~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:23: note: declared here
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of '_Py_HashDouble'
2981 | hashimag = _Py_HashDouble((double)
| ^~~~~~~~
| |
| double
2982 | PyArrayScalar_VAL(obj, C@name@).imag);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:38: note: expected 'PyObject *' {aka 'struct _object *'} but argument is of type 'double'
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function '_Py_HashDouble'
2981 | hashimag = _Py_HashDouble((double)
| ^~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:23: note: declared here
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In function 'half_arrtype_hash':
numpy/core/src/multiarray/scalartypes.c.src:2997:27: error: incompatible type for argument 1 of '_Py_HashDouble'
2997 | return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
| |
| double
/usr/include/python3.10/pyhash.h:10:38: note: expected 'PyObject *' {aka 'struct _object *'} but argument is of type 'double'
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2997:12: error: too few arguments to function '_Py_HashDouble'
2997 | return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
| ^~~~~~~~~~~~~~
/usr/include/python3.10/pyhash.h:10:23: note: declared here
10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
| ^~~~~~~~~~~~~~
This is the very same error as numpy/numpy#19033
My local numpy is not used, instead PyRate does dist.fetch_build_eggs(dist.setup_requires)
numpy-1.16.4-py3.7-linux-x86_64.egg seems very old. How do I override this behaviour?