INFO: compile options: '-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-ppc64le-3.10/numpy/core/src/multiarray -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/common -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/umath -Inumpy/core/include -Ibuild/src.linux-ppc64le-3.10/numpy/core/include/numpy -Ibuild/src.linux-ppc64le-3.10/numpy/distutils/include -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/npysort -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/opt/conda/include/python3.10 -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/common -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/npymath -c'
      extra options: '-O3 -mcpu=power10 -mtune=power10'
      INFO: powerpc64le-conda-linux-gnu-cc: build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_arithmetic.dispatch.vsx4.c
      INFO: powerpc64le-conda-linux-gnu-cc: build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_trigonometric.dispatch.vsx4.c
      INFO: powerpc64le-conda-linux-gnu-cc: build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_hyperbolic.dispatch.vsx4.c
      during RTL pass: expand
      In file included from build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_hyperbolic.dispatch.vsx4.c:11:
      numpy/core/src/umath/loops_hyperbolic.dispatch.c.src: In function 'FLOAT_tanh_VSX4':
      numpy/core/src/umath/loops_hyperbolic.dispatch.c.src:374:9: internal compiler error: in rs6000_sibcall_aix, at config/rs6000/rs6000.c:25670
        374 |         npy_clear_floatstatus_barrier((char*)dimensions);
            |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      Please submit a full bug report,
      with preprocessed source if appropriate.
      See <https://gcc.gnu.org/bugs/> for instructions.
      during RTL pass: expand
      In file included from build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_arithmetic.dispatch.vsx4.c:11:
      numpy/core/src/umath/loops_arithmetic.dispatch.c.src: In function 'BYTE_divide_VSX4':
      numpy/core/src/umath/loops_arithmetic.dispatch.c.src:76:13: internal compiler error: in rs6000_sibcall_aix, at config/rs6000/rs6000.c:25670
         76 |             npy_set_floatstatus_overflow();
            |             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      Please submit a full bug report,
      with preprocessed source if appropriate.
      See <https://gcc.gnu.org/bugs/> for instructions.
      error: Command "<myenv>buildenvgxx11/bin/powerpc64le-conda-linux-gnu-cc -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O3 -Wall -mcpu=power8 -fPIC -O3 -isystem /opt/conda/include -mcpu=power8 -fPIC -O3 -isystem /opt/conda/include -mcpu=power8 -mtune=power8 -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O3 -pipe -isystem <myenv>buildenvgxx11/include -DNDEBUG -D_FORTIFY_SOURCE=2 -O2 -isystem <myenv>buildenvgxx11/include -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-ppc64le-3.10/numpy/core/src/multiarray -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/common -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/umath -Inumpy/core/include -Ibuild/src.linux-ppc64le-3.10/numpy/core/include/numpy -Ibuild/src.linux-ppc64le-3.10/numpy/distutils/include -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/npysort -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/opt/conda/include/python3.10 -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/common -Ibuild/src.linux-ppc64le-3.10/numpy/core/src/npymath -c build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_arithmetic.dispatch.vsx4.c -o build/temp.linux-ppc64le-3.10/build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_arithmetic.dispatch.vsx4.o -MMD -MF build/temp.linux-ppc64le-3.10/build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_arithmetic.dispatch.vsx4.o.d -O3 -mcpu=power10 -mtune=power10" failed with exit status 1
      
      

      ########### EXT COMPILER OPTIMIZATION ###########
      INFO: Platform      :
        Architecture: ppc64le
        Compiler    : unix-like

      CPU baseline  :
        Requested   : 'min'
        Enabled     : VSX VSX2
        Flags       : -mcpu=power8
        Extra checks: VSX_ASM

      CPU dispatch  :
        Requested   : 'max -xop -fma4'
        Enabled     : VSX3 VSX4
        Generated   :
                    :
        VSX3        : VSX VSX2
        Flags       : -mcpu=power9 -mtune=power9
        Extra checks: none
        Detect      : VSX3
                    : build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_trigonometric.dispatch.c
                    :
        VSX4        : VSX VSX2 VSX3
        Flags       : -mcpu=power10 -mtune=power10
        Extra checks: VSX4_MMA
        Detect      : VSX4
                    : build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_arithmetic.dispatch.c
                    : build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_trigonometric.dispatch.c
                    : build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_hyperbolic.dispatch.c
                    : build/src.linux-ppc64le-3.10/numpy/core/src/umath/loops_modulo.dispatch.c
      INFO: CCompilerOpt.cache_flush[857] : write cache to path -> /tmp/pip-install-kw88t5sf/numpy_228008dbdfce4094a9475c5197e2ff88/build/temp.linux-ppc64le-3.10/ccompiler_opt_cache_ext.py
      INFO:
      ########### CLIB COMPILER OPTIMIZATION ###########
      INFO: Platform      :
        Architecture: ppc64le
        Compiler    : unix-like

      CPU baseline  :
        Requested   : 'min'
        Enabled     : VSX VSX2
        Flags       : -mcpu=power8
        Extra checks: VSX_ASM

      CPU dispatch  :
        Requested   : 'max -xop -fma4'
        Enabled     : VSX3 VSX4
        Generated   : none
      INFO: CCompilerOpt.cache_flush[857] : write cache to path -> /tmp/pip-install-kw88t5sf/numpy_228008dbdfce4094a9475c5197e2ff88/build/temp.linux-ppc64le-3.10/ccompiler_opt_cache_clib.py
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for numpy