Problem with Ubuntu 22.04 install via pip/numpy, when compiling dependencies.

[dat-linux]

Is this a GCC version issue perhaps? I'm using gcc-11.2.0-19ubuntu1 amd64

Ouput:

         2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
              |                           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
              |                           |
              |                           double
        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:2997:12: error: too few arguments to function ‘_Py_HashDouble’
         2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
              |            ^~~~~~~~~~~~~~
        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:10:23: 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:2968:1: warning: control reaches end of non-void function [-Wreturn-type]
         2968 | }
              | ^
        numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’:
        numpy/core/src/multiarray/scalartypes.c.src:2968:1: warning: control reaches end of non-void function [-Wreturn-type]
         2968 | }
              | ^
        numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’:
        numpy/core/src/multiarray/scalartypes.c.src:2998:1: warning: control reaches end of non-void function [-Wreturn-type]
         2998 | }
              | ^
        x86_64-linux-gnu-gcc: numpy/core/src/multiarray/vdot.c
        x86_64-linux-gnu-gcc: numpy/core/src/multiarray/scalarapi.c
        x86_64-linux-gnu-gcc: numpy/core/src/umath/umathmodule.c
        x86_64-linux-gnu-gcc: numpy/core/src/multiarray/nditer_pywrap.c
        x86_64-linux-gnu-gcc: numpy/core/src/umath/reduction.c
        x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/clip.c
        x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/loops.c
        x86_64-linux-gnu-gcc: numpy/core/src/umath/ufunc_object.c
        x86_64-linux-gnu-gcc: numpy/core/src/umath/override.c
        x86_64-linux-gnu-gcc: numpy/core/src/npymath/npy_math.c
        x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/ieee754.c
        x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c
        x86_64-linux-gnu-gcc: numpy/core/src/npymath/halffloat.c
        x86_64-linux-gnu-gcc: numpy/core/src/common/array_assign.c
        x86_64-linux-gnu-gcc: numpy/core/src/common/mem_overlap.c
        x86_64-linux-gnu-gcc: numpy/core/src/umath/extobj.c
        x86_64-linux-gnu-gcc: numpy/core/src/common/npy_longdouble.c
        x86_64-linux-gnu-gcc: numpy/core/src/common/ucsnarrow.c
        x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/scalarmath.c
        x86_64-linux-gnu-gcc: numpy/core/src/common/ufunc_override.c
        x86_64-linux-gnu-gcc: numpy/core/src/common/numpyos.c
        x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.10/numpy/core/src/common/npy_cpu_features.c
        x86_64-linux-gnu-gcc: numpy/core/src/umath/ufunc_type_resolution.c
        x86_64-linux-gnu-gcc: numpy/core/src/multiarray/mapping.c
        x86_64-linux-gnu-gcc: numpy/core/src/multiarray/methods.c
        x86_64-linux-gnu-gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/matmul.c
        error: Command "x86_64-linux-gnu-gcc -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/numpy/core/include/numpy -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 -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 -std=c99" failed with exit status 1
        [end of output]
  
    note: This error originates from a subprocess, and is likely not a problem with pip.
    ERROR: Failed building wheel for numpy
  Failed to build numpy
  ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
  [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.

[richerdk]

Exact same version and error for me as well. Were you able to workaround?

[dat-linux]

Exact same version and error for me as well. Were you able to workaround?

I still have problems with install. This issue doesn't seem to be getting any traction, so I'll update it with instructions on how to reproduce, and hopefully it gets picked up by a dev. Right now, based on the error messages, I see no logical workaround. Could be a compatibility issue with python 3.9 vs 3.10.

Python apps seem to break backwards compatibility quite lot for some reason. Dependency hell. I just wish there were precompiled packages for this stuff. Expecting real time dep builds is a recipe for trouble. The goal is supposed to be one code base for multiple platforms, but that goes out of the window if a simple distro upgrade can break it.

I run it in a virtual env as well.

[dat-linux]

opening another with more details

[saiaprameya]

facing the same issue hope there is some update on this!!!

[sraosamanthula]

facing the same issue, hope someone provides an update at the earliest possible.
Thanks

[dat-linux]

facing the same issue, hope someone provides an update at the earliest possible. Thanks

You need to run it in a Python 3.9 env't. Try https://github.com/pyenv/pyenv

[mdengler]

This appears to be an issue with pyarrow; see my comment in numpy/numpy#22520 (comment)

[mdengler]

opening another with more details

#19986