Hello everyone,

I try to setup the python api using a conda virtual environment.

When i run the command: python -m pip install dist/pywy-0.7.1.tar.gz

Everything worked fine prior to this. I use python version 3.8

I get the following error, has anyone encountered a similar issue and know of a 
potential fix?


      creating 
build/temp.macosx-11.1-arm64-3.8/build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort
      compile options: '-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common 
-Inumpy/core/include -Ibuild/src.macosx-11.1-arm64-3.8/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/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include/python3.8
 -Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath -c'
      extra options: '-std=c99'
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort/quicksort.c
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort/mergesort.c
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort/timsort.c
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort/heapsort.c
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort/radixsort.c
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort/binsearch.c
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npysort/selection.c
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be 
executed [-Wunreachable-code]
              npy_intp k;
              ^~~~~~~~~~~
      numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding 
parentheses to mark code as explicitly dead
          else if (0 && kth == num - 1) {
                   ^
                   /* DISABLES CODE */ ( )
      22 warnings generated.
      ar: adding 7 object files to build/temp.macosx-11.1-arm64-3.8/libnpysort.a
      ranlib:@ build/temp.macosx-11.1-arm64-3.8/libnpysort.a
      building 'npyrandom' library
      compiling C sources
      C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code 
-DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64

      creating build/temp.macosx-11.1-arm64-3.8/numpy/random
      creating build/temp.macosx-11.1-arm64-3.8/numpy/random/src
      creating build/temp.macosx-11.1-arm64-3.8/numpy/random/src/distributions
      compile options: '-Inumpy/core/include 
-Ibuild/src.macosx-11.1-arm64-3.8/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/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include/python3.8
 -Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath -c'
      extra options: '-std=c99'
      gcc: numpy/random/src/distributions/logfactorial.c
      gcc: numpy/random/src/distributions/distributions.c
      gcc: numpy/random/src/distributions/random_mvhg_count.c
      gcc: numpy/random/src/distributions/random_mvhg_marginals.c
      gcc: numpy/random/src/distributions/random_hypergeometric.c
      ar: adding 5 object files to 
build/temp.macosx-11.1-arm64-3.8/libnpyrandom.a
      ranlib:@ build/temp.macosx-11.1-arm64-3.8/libnpyrandom.a
      running build_ext
      customize UnixCCompiler
      customize UnixCCompiler using new_build_ext
      building 'numpy.core._multiarray_tests' extension
      compiling C sources
      C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code 
-DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64

      creating 
build/temp.macosx-11.1-arm64-3.8/build/src.macosx-11.1-arm64-3.8/numpy/core/src/multiarray
      creating build/temp.macosx-11.1-arm64-3.8/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 
-Inumpy/core/include -Ibuild/src.macosx-11.1-arm64-3.8/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/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include/python3.8
 -Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath -c'
      extra options: '-std=c99'
      gcc: 
build/src.macosx-11.1-arm64-3.8/numpy/core/src/multiarray/_multiarray_tests.c
      gcc: numpy/core/src/common/mem_overlap.c
      In file included from numpy/core/src/multiarray/_multiarray_tests.c.src:7:
      In file included from numpy/core/include/numpy/npy_math.h:596:
      numpy/core/src/npymath/npy_math_internal.h.src:490:21: warning: 
incompatible pointer types passing 'npy_longdouble *' (aka 'double *') to 
parameter of type 'long double *' [-Wincompatible-pointer-types]
          return modfl(x, iptr);
                          ^~~~
      
/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/math.h:394:52: 
note: passing argument to parameter here
      extern long double modfl(long double, long double *);
                                                         ^
      numpy/core/src/multiarray/_multiarray_tests.c.src:1895:61: warning: 
format specifies type 'long double' but the argument has type 'npy_longdouble' 
(aka 'double') [-Wformat]
              PyOS_snprintf(str, sizeof(str), "%.*Lg", precision, x);
                                               ~~~~~              ^
                                               %.*g
      2 warnings generated.
      gcc -bundle -undefined dynamic_lookup 
-L/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/lib
 -arch arm64 
-L/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/lib
 -arch arm64 
build/temp.macosx-11.1-arm64-3.8/build/src.macosx-11.1-arm64-3.8/numpy/core/src/multiarray/_multiarray_tests.o
 build/temp.macosx-11.1-arm64-3.8/numpy/core/src/common/mem_overlap.o 
-Lbuild/temp.macosx-11.1-arm64-3.8 -lnpymath -o 
build/lib.macosx-11.1-arm64-3.8/numpy/core/_multiarray_tests.cpython-38-darwin.so
      ld: warning: -undefined dynamic_lookup may not work with chained fixups
      building 'numpy.core._multiarray_umath' extension
      compiling C sources
      C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code 
-DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64

      creating build/temp.macosx-11.1-arm64-3.8/numpy/core/src/multiarray
      creating build/temp.macosx-11.1-arm64-3.8/numpy/core/src/umath
      creating 
build/temp.macosx-11.1-arm64-3.8/build/src.macosx-11.1-arm64-3.8/numpy/core/src/umath
      creating 
build/temp.macosx-11.1-arm64-3.8/build/src.macosx-11.1-arm64-3.8/numpy/core/src/common
      creating build/temp.macosx-11.1-arm64-3.8/private
      creating build/temp.macosx-11.1-arm64-3.8/private/var
      creating build/temp.macosx-11.1-arm64-3.8/private/var/folders
      creating build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq
      creating 
build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn
      creating 
build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T
      creating 
build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T/pip-install-vwpz24ky
      creating 
build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T/pip-install-vwpz24ky/numpy_5662a0cd0ad248f684ef3646960b0987
      creating 
build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T/pip-install-vwpz24ky/numpy_5662a0cd0ad248f684ef3646960b0987/numpy
      creating 
build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T/pip-install-vwpz24ky/numpy_5662a0cd0ad248f684ef3646960b0987/numpy/_build_utils
      creating 
build/temp.macosx-11.1-arm64-3.8/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T/pip-install-vwpz24ky/numpy_5662a0cd0ad248f684ef3646960b0987/numpy/_build_utils/src
      compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 
-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 
-DNO_ATLAS_INFO=3 -DHAVE_CBLAS 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/umath 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common -Inumpy/core/include 
-Ibuild/src.macosx-11.1-arm64-3.8/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/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include/python3.8
 -Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath -c'
      extra options: '-faltivec 
-I/System/Library/Frameworks/vecLib.framework/Headers -std=c99'
      gcc: numpy/core/src/multiarray/alloc.c
      gcc: numpy/core/src/multiarray/array_assign_scalar.c
      gcc: numpy/core/src/multiarray/common.c
      gcc: numpy/core/src/multiarray/buffer.c
      gcc: numpy/core/src/multiarray/datetime_strings.c
      gcc: numpy/core/src/multiarray/descriptor.c
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/multiarray/einsum.c
      gcc: numpy/core/src/multiarray/conversion_utils.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: numpy/core/src/multiarray/hashdescr.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: numpy/core/src/multiarray/nditer_constr.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: 
build/src.macosx-11.1-arm64-3.8/numpy/core/src/multiarray/lowlevel_strided_loops.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: numpy/core/src/multiarray/multiarraymodule.c
      gcc: numpy/core/src/multiarray/refcount.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: numpy/core/src/multiarray/scalarapi.c
      gcc: numpy/core/src/multiarray/temp_elide.c
      gcc: numpy/core/src/multiarray/vdot.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/umath/loops.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: numpy/core/src/umath/ufunc_object.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: numpy/core/src/umath/ufunc_type_resolution.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: build/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath/ieee754.c
      gcc: numpy/core/src/common/array_assign.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: numpy/core/src/common/ucsnarrow.c
      gcc: 
build/src.macosx-11.1-arm64-3.8/numpy/core/src/common/npy_cpu_features.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      gcc: 
/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T/pip-install-vwpz24ky/numpy_5662a0cd0ad248f684ef3646960b0987/numpy/_build_utils/src/apple_sgemv_fix.c
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      clang: error: the clang compiler does not support 'faltivec', please use 
-maltivec and include altivec.h explicitly
      Running from numpy source directory.
      
/private/var/folders/kq/74s0vpws7rb13lp23gc3ytd00000gn/T/pip-build-env-qfnqrpns/overlay/lib/python3.8/site-packages/setuptools/_distutils/dist.py:275:
 UserWarning: Unknown distribution option: 'define_macros'
        warnings.warn(msg)
      error: Command "gcc -Wno-unused-result -Wsign-compare -Wunreachable-code 
-DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64 
-I/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include
 -arch arm64 -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 
-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 
-DNO_ATLAS_INFO=3 -DHAVE_CBLAS 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/umath 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common -Inumpy/core/include 
-Ibuild/src.macosx-11.1-arm64-3.8/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/Users/christofferkristensen/Documents/SoftwareDesign/research_project/incubator-wayang/.conda/include/python3.8
 -Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/common 
-Ibuild/src.macosx-11.1-arm64-3.8/numpy/core/src/npymath -c 
numpy/core/src/multiarray/alloc.c -o 
build/temp.macosx-11.1-arm64-3.8/numpy/core/src/multiarray/alloc.o -MMD -MF 
build/temp.macosx-11.1-arm64-3.8/numpy/core/src/multiarray/alloc.o.d -faltivec 
-I/System/Library/Frameworks/vecLib.framework/Headers -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
Successfully built pywy
Failed to build numpy
ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based 
projects (numpy)

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