numpy fails to build with Python 3.10.0b1. C compiler: gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fPIC creating build/temp.linux-x86_64-3.10/numpy/core/src/multiarray creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/npysort creating build/temp.linux-x86_64-3.10/numpy/core/src/umath creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/common compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DHAVE_CBLAS -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/numpy/core/include/numpy -Ibuild/src.linux-x86_64-3.10/numpy/distutils/include -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -Inumpy/core/src/_simd -I/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c' extra options: '-msse -msse2 -msse3' gcc: numpy/core/src/multiarray/abstractdtypes.c gcc: numpy/core/src/multiarray/calculation.c gcc: numpy/core/src/multiarray/alloc.c gcc: numpy/core/src/multiarray/arrayobject.c gcc: numpy/core/src/multiarray/compiled_base.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/arraytypes.c gcc: numpy/core/src/multiarray/common.c gcc: numpy/core/src/multiarray/convert.c gcc: numpy/core/src/multiarray/convert_datatype.c In file included from numpy/core/src/common/npy_cpu_dispatch.h:8, from numpy/core/src/common/npy_config.h:6, from numpy/core/include/numpy/npy_common.h:10, from numpy/core/include/numpy/ndarraytypes.h:4, from numpy/core/include/numpy/ndarrayobject.h:12, from numpy/core/include/numpy/arrayobject.h:4, from numpy/core/src/multiarray/convert_datatype.c:7: numpy/core/include/numpy/utils.h:27:24: warning: argument 2 of type ‘PyArray_DTypeMeta *[2]’ {aka ‘struct PyArray_DTypeMeta_tag *[2]’} with mismatched bound [-Warray-parameter=] 27 | #define NPY_UNUSED(x) (__NPY_UNUSED_TAGGED ## x) __COMP_NPY_UNUSED numpy/core/src/multiarray/convert_datatype.c:1942:28: note: in expansion of macro ‘NPY_UNUSED’ 1942 | PyArray_DTypeMeta *NPY_UNUSED(dtypes[2]), | ^~~~~~~~~~ In file included from numpy/core/src/multiarray/convert_datatype.c:23: numpy/core/src/multiarray/convert_datatype.h:72:29: note: previously declared as ‘PyArray_DTypeMeta **’ {aka ‘struct PyArray_DTypeMeta_tag **’} 72 | PyArray_DTypeMeta **dtypes, | ~~~~~~~~~~~~~~~~~~~~^~~~~~ numpy/core/src/multiarray/convert_datatype.c:1943:24: warning: argument 3 of type ‘PyArray_Descr *[2]’ {aka ‘struct _PyArray_Descr *[2]’} with mismatched bound [-Warray-parameter=] 1943 | PyArray_Descr *given_descrs[2], | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ In file included from numpy/core/src/multiarray/convert_datatype.c:23: numpy/core/src/multiarray/convert_datatype.h:73:25: note: previously declared as ‘PyArray_Descr **’ {aka ‘struct _PyArray_Descr **’} 73 | PyArray_Descr **given_descrs, | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~ numpy/core/src/multiarray/convert_datatype.c:1944:24: warning: argument 4 of type ‘PyArray_Descr *[2]’ {aka ‘struct _PyArray_Descr *[2]’} with mismatched bound [-Warray-parameter=] 1944 | PyArray_Descr *loop_descrs[2]) | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ In file included from numpy/core/src/multiarray/convert_datatype.c:23: numpy/core/src/multiarray/convert_datatype.h:74:25: note: previously declared as ‘PyArray_Descr **’ {aka ‘struct _PyArray_Descr **’} 74 | PyArray_Descr **loop_descrs); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~ numpy/core/src/multiarray/convert_datatype.c:1983:28: warning: argument 2 of type ‘PyArray_DTypeMeta *[2]’ {aka ‘struct PyArray_DTypeMeta_tag *[2]’} with mismatched bound [-Warray-parameter=] 1983 | PyArray_DTypeMeta *dtypes[2], | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~ In file included from numpy/core/src/multiarray/convert_datatype.c:23: numpy/core/src/multiarray/convert_datatype.h:79:29: note: previously declared as ‘PyArray_DTypeMeta **’ {aka ‘struct PyArray_DTypeMeta_tag **’} 79 | PyArray_DTypeMeta **dtypes, | ~~~~~~~~~~~~~~~~~~~~^~~~~~ numpy/core/src/multiarray/convert_datatype.c:1984:24: warning: argument 3 of type ‘PyArray_Descr *[2]’ {aka ‘struct _PyArray_Descr *[2]’} with mismatched bound [-Warray-parameter=] 1984 | PyArray_Descr *given_descrs[2], | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ In file included from numpy/core/src/multiarray/convert_datatype.c:23: numpy/core/src/multiarray/convert_datatype.h:80:25: note: previously declared as ‘PyArray_Descr **’ {aka ‘struct _PyArray_Descr **’} 80 | PyArray_Descr **input_descrs, | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~ numpy/core/src/multiarray/convert_datatype.c:1985:24: warning: argument 4 of type ‘PyArray_Descr *[2]’ {aka ‘struct _PyArray_Descr *[2]’} with mismatched bound [-Warray-parameter=] 1985 | PyArray_Descr *loop_descrs[2]) | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ In file included from numpy/core/src/multiarray/convert_datatype.c:23: numpy/core/src/multiarray/convert_datatype.h:81:25: note: previously declared as ‘PyArray_Descr **’ {aka ‘struct _PyArray_Descr **’} 81 | PyArray_Descr **loop_descrs); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~ gcc: numpy/core/src/multiarray/conversion_utils.c gcc: numpy/core/src/multiarray/ctors.c gcc: numpy/core/src/multiarray/datetime.c gcc: numpy/core/src/multiarray/datetime_strings.c gcc: numpy/core/src/multiarray/datetime_busday.c gcc: numpy/core/src/multiarray/datetime_busdaycal.c gcc: numpy/core/src/multiarray/descriptor.c gcc: numpy/core/src/multiarray/array_coercion.c gcc: numpy/core/src/multiarray/dtypemeta.c numpy/core/src/multiarray/array_coercion.c: In function ‘PyArray_DiscoverDTypeAndShape_Recursive’: numpy/core/src/multiarray/array_coercion.c:1089:9: warning: ‘update_shape’ reading 256 bytes from a region of size 8 [-Wstringop-overread] 1089 | if (update_shape(curr_dims, &max_dims, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1090 | out_shape, 1, &size, NPY_TRUE, flags) < 0) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ numpy/core/src/multiarray/array_coercion.c:1089:9: note: referencing argument 5 of type ‘const npy_intp *’ numpy/core/src/multiarray/array_coercion.c:480:1: note: in a call to function ‘update_shape’ 480 | update_shape(int curr_ndim, int *max_ndim, | ^~~~~~~~~~~~ gcc: numpy/core/src/multiarray/array_method.c gcc: numpy/core/src/multiarray/dragon4.c gcc: numpy/core/src/multiarray/array_assign_scalar.c gcc: numpy/core/src/multiarray/array_assign_array.c gcc: numpy/core/src/multiarray/dtype_transfer.c gcc: numpy/core/src/multiarray/arrayfunction_override.c gcc: numpy/core/src/multiarray/buffer.c gcc: numpy/core/src/multiarray/item_selection.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/einsum.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/einsum_sumprod.c gcc: numpy/core/src/multiarray/iterators.c gcc: numpy/core/src/multiarray/legacy_dtype_implementation.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/lowlevel_strided_loops.c gcc: numpy/core/src/multiarray/flagsobject.c gcc: numpy/core/src/multiarray/getset.c gcc: numpy/core/src/multiarray/hashdescr.c gcc: numpy/core/src/multiarray/nditer_pywrap.c gcc: numpy/core/src/multiarray/number.c gcc: numpy/core/src/multiarray/refcount.c gcc: numpy/core/src/multiarray/sequence.c gcc: numpy/core/src/multiarray/shape.c gcc: numpy/core/src/multiarray/scalarapi.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:3175:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 3175 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); In file included from /usr/include/python3.10/Python.h:81, 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:3175:12: error: too few arguments to function ‘_Py_HashDouble’ 3175 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); | ^~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, from numpy/core/src/multiarray/scalartypes.c.src:3: /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:3183:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 3183 | hashreal = _Py_HashDouble((double) | ^~~~~~~~ | | | double 3184 | PyArrayScalar_VAL(obj, C@name@).real); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, 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:3183:16: error: too few arguments to function ‘_Py_HashDouble’ 3183 | hashreal = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, from numpy/core/src/multiarray/scalartypes.c.src:3: /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:3189:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 3189 | hashimag = _Py_HashDouble((double) | ^~~~~~~~ | | | double 3190 | PyArrayScalar_VAL(obj, C@name@).imag); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, 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:3189:16: error: too few arguments to function ‘_Py_HashDouble’ 3189 | hashimag = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, from numpy/core/src/multiarray/scalartypes.c.src:3: /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:3175:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 3175 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); In file included from /usr/include/python3.10/Python.h:81, 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:3175:12: error: too few arguments to function ‘_Py_HashDouble’ 3175 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); | ^~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, from numpy/core/src/multiarray/scalartypes.c.src:3: /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:3183:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 3183 | hashreal = _Py_HashDouble((double) | ^~~~~~~~ | | | double 3184 | PyArrayScalar_VAL(obj, C@name@).real); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, 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:3183:16: error: too few arguments to function ‘_Py_HashDouble’ 3183 | hashreal = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, from numpy/core/src/multiarray/scalartypes.c.src:3: /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:3189:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 3189 | hashimag = _Py_HashDouble((double) | ^~~~~~~~ | | | double 3190 | PyArrayScalar_VAL(obj, C@name@).imag); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, 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:3189:16: error: too few arguments to function ‘_Py_HashDouble’ 3189 | hashimag = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, from numpy/core/src/multiarray/scalartypes.c.src:3: /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:3205:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 3205 | return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | double In file included from /usr/include/python3.10/Python.h:81, 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:3205:12: error: too few arguments to function ‘_Py_HashDouble’ 3205 | return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half))); | ^~~~~~~~~~~~~~ In file included from /usr/include/python3.10/Python.h:81, from numpy/core/src/multiarray/scalartypes.c.src:3: /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:3176:1: warning: control reaches end of non-void function [-Wreturn-type] 3176 | } | ^ numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:3176:1: warning: control reaches end of non-void function [-Wreturn-type] 3176 | } | ^ numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:3206:1: warning: control reaches end of non-void function [-Wreturn-type] 3206 | } | ^ gcc: numpy/core/src/multiarray/usertypes.c gcc: numpy/core/src/multiarray/vdot.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/quicksort.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/mergesort.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/timsort.c gcc: numpy/core/src/multiarray/mapping.c gcc: numpy/core/src/multiarray/methods.c gcc: numpy/core/src/multiarray/multiarraymodule.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/heapsort.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/radixsort.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/nditer_templ.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/selection.c gcc: numpy/core/src/multiarray/nditer_api.c gcc: numpy/core/src/multiarray/nditer_constr.c gcc: numpy/core/src/umath/reduction.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/loops.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/binsearch.c gcc: numpy/core/src/umath/umathmodule.c gcc: numpy/core/src/common/mem_overlap.c gcc: numpy/core/src/common/npy_longdouble.c gcc: numpy/core/src/common/ucsnarrow.c gcc: numpy/core/src/common/ufunc_override.c gcc: numpy/core/src/common/numpyos.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/common/npy_cpu_features.c gcc: numpy/core/src/common/cblasfuncs.c gcc: numpy/core/src/common/python_xerbla.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/matmul.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/clip.c gcc: numpy/core/src/umath/ufunc_object.c gcc: numpy/core/src/umath/extobj.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/scalarmath.c gcc: numpy/core/src/umath/ufunc_type_resolution.c gcc: numpy/core/src/umath/override.c gcc: numpy/core/src/common/array_assign.c error: Command "gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fPIC -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DHAVE_CBLAS -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/numpy/core/include/numpy -Ibuild/src.linux-x86_64-3.10/numpy/distutils/include -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -Inumpy/core/src/_simd -I/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c -o build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o.d -msse -msse2 -msse3" failed with exit status 1 ########### EXT COMPILER OPTIMIZATION ########### Platform : Architecture: x64 Compiler : gcc CPU baseline : Requested : 'min' Enabled : SSE SSE2 SSE3 Flags : -msse -msse2 -msse3 Extra checks: none CPU dispatch : Requested : 'max -xop -fma4' Enabled : SSSE3 SSE41 POPCNT SSE42 AVX F16C FMA3 AVX2 AVX512F AVX512CD AVX512_KNL AVX512_KNM AVX512_SKX AVX512_CLX AVX512_CNL AVX512_ICL Generated : none CCompilerOpt._cache_write[796] : write cache to path -> /builddir/build/BUILD/numpy-1.20.1/build/temp.linux-x86_64-3.10/ccompiler_opt_cache_ext.py ########### CLIB COMPILER OPTIMIZATION ########### Platform : Architecture: x64 Compiler : gcc CPU baseline : Requested : 'min' Enabled : SSE SSE2 SSE3 Flags : -msse -msse2 -msse3 Extra checks: none CPU dispatch : Requested : 'max -xop -fma4' Enabled : SSSE3 SSE41 POPCNT SSE42 AVX F16C FMA3 AVX2 AVX512F AVX512CD AVX512_KNL AVX512_KNM AVX512_SKX AVX512_CLX AVX512_CNL AVX512_ICL Generated : none For the build logs, see: https://copr-be.cloud.fedoraproject.org/results/@python/python3.10/fedora-rawhide-x86_64/02167999-numpy/ For all our attempts to build numpy with Python 3.10, see: https://copr.fedorainfracloud.org/coprs/g/python/python3.10/package/numpy/ Testing and mass rebuild of packages is happening in copr. You can follow these instructions to test locally in mock if your package builds with Python 3.10: https://copr.fedorainfracloud.org/coprs/g/python/python3.10/ Let us know here if you have any questions. Python 3.10 will be included in Fedora 35. To make that update smoother, we're building Fedora packages with early pre-releases of Python 3.10. A build failure prevents us from testing all dependent packages (transitive [Build]Requires), so if this package is required a lot, it's important for us to get it fixed soon. We'd appreciate help from the people who know this package best, but if you don't want to work on this now, let us know so we can try to work around it on our side.
numpy/core/src/multiarray/scalartypes.c.src:3175:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’ /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ The change is: https://github.com/python/cpython/commit/a07da09ad5bd7d234ccd084a3a0933c290d1b592 https://bugs.python.org/issue43475 The function _Py_HashDouble is prefixed with an underscore and hence private, so this is not a "regression" in Python. Let's see if numpy source uses this directly or if cython generates this.
Fixed in upstream: https://github.com/numpy/numpy/commit/ad2a73c18dcff95d844c382c94ab7f73b5571cf3
https://src.fedoraproject.org/rpms/numpy/pull-request/18
This is a mass-posted update. Sorry if it is not 100% accurate to this bugzilla. The Python 3.10 rebuild is in progress in a Koji side tag. If you manage to fix the problem, please commit the fix in the rawhide branch, but don't build the package in regular rawhide. You can either build the package in the side tag, with: $ fedpkg build --target=f35-python Or you can the build and we will eventually build it for you. Note that the rebuild is still in progress, so not all (build) dependencies of this package might be available right away. Thanks. See also https://fedoraproject.org/wiki/Changes/Python3.10 If you have general questions about the rebuild, please use this mailing list thread: https://lists.fedoraproject.org/archives/list/devel@lists.fedoraproject.org/thread/G47SGOYIQLRDTWGOSLSWERZSSHXDEDH5/