numpy build log, PR gh-15759

build.log

Processing numpy/random/_bounded_integers.pxd.in
Processing numpy/random/_bounded_integers.pyx.in
Processing numpy/random/_common.pyx
Processing numpy/random/_generator.pyx
Processing numpy/random/_mt19937.pyx
Processing numpy/random/_pcg64.pyx
Processing numpy/random/_philox.pyx
Processing numpy/random/_sfc64.pyx
Processing numpy/random/bit_generator.pyx
Processing numpy/random/mtrand.pyx
Cythonizing sources
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
  libraries mkl_rt not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

blis_info:
  libraries blis not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

openblas_info:
  libraries openblas not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries tatlas not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

atlas_3_10_blas_info:
  libraries satlas not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

atlas_blas_threads_info:
Setting PTATLAS=ATLAS
  libraries ptf77blas,ptcblas,atlas not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

atlas_blas_info:
  libraries f77blas,cblas,atlas not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

blas_info:
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating /var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/var
creating /var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/var/folders
creating /var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/var/folders/p9
creating /var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn
creating /var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T
creating /var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1
compile options: '-I/usr/local/include -I/usr/include -I/Users/warren/py381/include -c'
gcc: /var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/source.c
/var/folders/p9/j_v_3wvd2bx5ftq544pvvf1w0000gn/T/tmpzl28_2z1/source.c:1:10: fatal error: 'cblas.h' file not found
#include <cblas.h>
         ^~~~~~~~~
1 error generated.
  FOUND:
    libraries = ['blas', 'blas']
    library_dirs = ['/usr/lib']
    include_dirs = ['/usr/local/include', '/usr/include', '/Users/warren/py381/include']

  FOUND:
    define_macros = [('NO_ATLAS_INFO', 1)]
    libraries = ['blas', 'blas']
    library_dirs = ['/usr/lib']
    include_dirs = ['/usr/local/include', '/usr/include', '/Users/warren/py381/include']

non-existing path in 'numpy/distutils': 'site.cfg'
lapack_opt_info:
lapack_mkl_info:
  libraries mkl_rt not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

openblas_lapack_info:
  libraries openblas not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

openblas_clapack_info:
  libraries openblas,lapack not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

flame_info:
  libraries flame not found in ['/Users/warren/py381/lib', '/usr/local/lib', '/usr/lib']
  NOT AVAILABLE

atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
  libraries lapack_atlas not found in /Users/warren/py381/lib
  libraries tatlas,tatlas not found in /Users/warren/py381/lib
  libraries lapack_atlas not found in /usr/local/lib
  libraries tatlas,tatlas not found in /usr/local/lib
  libraries lapack_atlas not found in /usr/lib
  libraries tatlas,tatlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
  NOT AVAILABLE

atlas_3_10_info:
  libraries lapack_atlas not found in /Users/warren/py381/lib
  libraries satlas,satlas not found in /Users/warren/py381/lib
  libraries lapack_atlas not found in /usr/local/lib
  libraries satlas,satlas not found in /usr/local/lib
  libraries lapack_atlas not found in /usr/lib
  libraries satlas,satlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_3_10_info'>
  NOT AVAILABLE

atlas_threads_info:
Setting PTATLAS=ATLAS
  libraries lapack_atlas not found in /Users/warren/py381/lib
  libraries ptf77blas,ptcblas,atlas not found in /Users/warren/py381/lib
  libraries lapack_atlas not found in /usr/local/lib
  libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
  libraries lapack_atlas not found in /usr/lib
  libraries ptf77blas,ptcblas,atlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_threads_info'>
  NOT AVAILABLE

atlas_info:
  libraries lapack_atlas not found in /Users/warren/py381/lib
  libraries f77blas,cblas,atlas not found in /Users/warren/py381/lib
  libraries lapack_atlas not found in /usr/local/lib
  libraries f77blas,cblas,atlas not found in /usr/local/lib
  libraries lapack_atlas not found in /usr/lib
  libraries f77blas,cblas,atlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_info'>
  NOT AVAILABLE

lapack_info:
  FOUND:
    libraries = ['lapack', 'lapack']
    library_dirs = ['/usr/lib']
    language = f77

  FOUND:
    libraries = ['lapack', 'lapack', 'blas', 'blas']
    library_dirs = ['/usr/lib']
    language = f77
    define_macros = [('NO_ATLAS_INFO', 1)]
    include_dirs = ['/usr/local/include', '/usr/include', '/Users/warren/py381/include']

non-existing path in 'numpy/random': '{gen}.pxd'
non-existing path in 'numpy/random': '{gen}.pxd'
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building py_modules sources
creating build/src.macosx-10.12-x86_64-3.8
creating build/src.macosx-10.12-x86_64-3.8/numpy
creating build/src.macosx-10.12-x86_64-3.8/numpy/distutils
building library "npymath" sources
creating build/src.macosx-10.12-x86_64-3.8/numpy/core
creating build/src.macosx-10.12-x86_64-3.8/numpy/core/src
creating build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math_internal.h
  adding 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath' to include_dirs.
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/ieee754.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math_complex.c
None - nothing done with h_files = ['build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math_internal.h']
building library "npysort" sources
creating build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_sort.h
  adding 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common' to include_dirs.
creating build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/quicksort.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/mergesort.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/timsort.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/heapsort.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/radixsort.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_partition.h
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/selection.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_binsearch.h
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/binsearch.c
None - nothing done with h_files = ['build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_sort.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_partition.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_binsearch.h']
building library "npyrandom" sources
building extension "numpy.core._multiarray_tests" sources
creating build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/_multiarray_tests.c
building extension "numpy.core._multiarray_umath" sources
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/arraytypes.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/einsum.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/lowlevel_strided_loops.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/nditer_templ.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/scalartypes.c
creating build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/funcs.inc
  adding 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath' to include_dirs.
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/simd.inc
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/loops.h
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/loops.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/matmul.h
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/matmul.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/clip.h
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/clip.c
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/scalarmath.c
  adding 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath' to include_dirs.
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/templ_common.h
  adding 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common' to include_dirs.
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_cpu_features.c
numpy.core - nothing done with h_files = ['build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/funcs.inc', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/simd.inc', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/loops.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/matmul.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/clip.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/templ_common.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/include/numpy/config.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-10.12-x86_64-3.8/numpy/core/include/numpy/__ufunc_api.h']
building extension "numpy.core._umath_tests" sources
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_umath_tests.c
building extension "numpy.core._rational_tests" sources
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_rational_tests.c
building extension "numpy.core._struct_ufunc_tests" sources
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_struct_ufunc_tests.c
building extension "numpy.core._operand_flag_tests" sources
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_operand_flag_tests.c
building extension "numpy.fft._pocketfft_internal" sources
building extension "numpy.linalg.lapack_lite" sources
creating build/src.macosx-10.12-x86_64-3.8/numpy/linalg
building extension "numpy.linalg._umath_linalg" sources
conv_template:> build/src.macosx-10.12-x86_64-3.8/numpy/linalg/umath_linalg.c
building extension "numpy.random._mt19937" sources
building extension "numpy.random._philox" sources
building extension "numpy.random._pcg64" sources
building extension "numpy.random._sfc64" sources
building extension "numpy.random._common" sources
building extension "numpy.random.bit_generator" sources
building extension "numpy.random._generator" sources
building extension "numpy.random._bounded_integers" sources
building extension "numpy.random.mtrand" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build/lib.macosx-10.12-x86_64-3.8
creating build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/_distributor_init.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/_globals.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/_pytesttester.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/conftest.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/ctypeslib.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/dual.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/matlib.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying numpy/version.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
copying build/src.macosx-10.12-x86_64-3.8/numpy/__config__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy
creating build/lib.macosx-10.12-x86_64-3.8/numpy/compat
copying numpy/compat/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/compat
copying numpy/compat/_inspect.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/compat
copying numpy/compat/py3k.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/compat
copying numpy/compat/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/compat
creating build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_add_newdocs.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_asarray.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_dtype.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_dtype_ctypes.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_exceptions.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_internal.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_methods.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_string_helpers.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_type_aliases.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/_ufunc_config.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/arrayprint.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/cversions.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/defchararray.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/einsumfunc.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/fromnumeric.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/function_base.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/getlimits.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/machar.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/memmap.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/multiarray.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/numeric.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/numerictypes.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/overrides.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/records.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/setup_common.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/shape_base.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/umath.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/umath_tests.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
copying numpy/core/code_generators/generate_numpy_api.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/core
creating build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/_shell_utils.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/ccompiler.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/conv_template.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/core.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/cpuinfo.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/exec_command.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/extension.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/from_template.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/intelccompiler.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/lib2def.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/line_endings.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/log.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/mingw32ccompiler.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/misc_util.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/msvc9compiler.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
copying numpy/distutils/msvccompiler.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/distutils
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copying numpy/f2py/cfuncs.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
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copying numpy/f2py/crackfortran.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
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copying numpy/f2py/f2py2e.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
copying numpy/f2py/f2py_testing.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
copying numpy/f2py/f90mod_rules.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
copying numpy/f2py/func2subr.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
copying numpy/f2py/rules.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
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copying numpy/f2py/use_rules.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/f2py
creating build/lib.macosx-10.12-x86_64-3.8/numpy/fft
copying numpy/fft/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/fft
copying numpy/fft/_pocketfft.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/fft
copying numpy/fft/helper.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/fft
copying numpy/fft/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/fft
creating build/lib.macosx-10.12-x86_64-3.8/numpy/lib
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copying numpy/lib/_datasource.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/_iotools.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/_version.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/arraypad.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/arraysetops.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/arrayterator.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/financial.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/format.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/function_base.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/histograms.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/index_tricks.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/mixins.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/nanfunctions.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/npyio.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/polynomial.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/recfunctions.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/scimath.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/shape_base.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/stride_tricks.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/twodim_base.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/type_check.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/ufunclike.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/user_array.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
copying numpy/lib/utils.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/lib
creating build/lib.macosx-10.12-x86_64-3.8/numpy/linalg
copying numpy/linalg/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/linalg
copying numpy/linalg/linalg.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/linalg
copying numpy/linalg/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/linalg
creating build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/bench.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/core.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/extras.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/mrecords.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/testutils.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
copying numpy/ma/timer_comparison.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/ma
creating build/lib.macosx-10.12-x86_64-3.8/numpy/matrixlib
copying numpy/matrixlib/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/matrixlib
copying numpy/matrixlib/defmatrix.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/matrixlib
copying numpy/matrixlib/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/matrixlib
creating build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/_polybase.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/chebyshev.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/hermite.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/hermite_e.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/laguerre.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/legendre.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/polynomial.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/polyutils.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
copying numpy/polynomial/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/polynomial
creating build/lib.macosx-10.12-x86_64-3.8/numpy/random
copying numpy/random/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/random
copying numpy/random/_pickle.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/random
copying numpy/random/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/random
creating build/lib.macosx-10.12-x86_64-3.8/numpy/testing
copying numpy/testing/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing
copying numpy/testing/print_coercion_tables.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing
copying numpy/testing/setup.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing
copying numpy/testing/utils.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing
creating build/lib.macosx-10.12-x86_64-3.8/numpy/testing/_private
copying numpy/testing/_private/__init__.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing/_private
copying numpy/testing/_private/decorators.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing/_private
copying numpy/testing/_private/noseclasses.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing/_private
copying numpy/testing/_private/nosetester.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing/_private
copying numpy/testing/_private/parameterized.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing/_private
copying numpy/testing/_private/utils.py -> build/lib.macosx-10.12-x86_64-3.8/numpy/testing/_private
running build_clib
customize UnixCCompiler
customize UnixCCompiler using new_build_clib
building 'npymath' library
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8
creating build/temp.macosx-10.12-x86_64-3.8/numpy
creating build/temp.macosx-10.12-x86_64-3.8/numpy/core
creating build/temp.macosx-10.12-x86_64-3.8/numpy/core/src
creating build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/npymath
creating build/temp.macosx-10.12-x86_64-3.8/build
creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8
creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy
creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core
creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src
creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath
compile options: '-Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: numpy/core/src/npymath/npy_math.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/ieee754.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math_complex.c
gcc: numpy/core/src/npymath/halffloat.c
ar: adding 4 object files to build/temp.macosx-10.12-x86_64-3.8/libnpymath.a
ranlib:@ build/temp.macosx-10.12-x86_64-3.8/libnpymath.a
building 'npysort' library
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort
compile options: '-Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/timsort.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/mergesort.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/quicksort.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/heapsort.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/radixsort.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/selection.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npysort/binsearch.c
In file included from numpy/core/src/npysort/binsearch.c.src:6:
numpy/core/src/common/npy_binsearch.h.src:110:14: warning: comparison of constant 2 with expression of type 'NPY_SEARCHSIDE' is always false [-Wtautological-constant-out-of-range-compare]
    if (side >= NPY_NSEARCHSIDES) {
        ~~~~ ^  ~~~~~~~~~~~~~~~~
numpy/core/src/common/npy_binsearch.h.src:110:14: warning: comparison of constant 2 with expression of type 'NPY_SEARCHSIDE' is always false [-Wtautological-constant-out-of-range-compare]
    if (side >= NPY_NSEARCHSIDES) {
        ~~~~ ^  ~~~~~~~~~~~~~~~~
In file included from numpy/core/src/npysort/selection.c.src:22:
numpy/core/src/common/npy_partition.h.src:98:15: warning: comparison of constant 1 with expression of type 'NPY_SELECTKIND' is always false [-Wtautological-constant-out-of-range-compare]
    if (which >= NPY_NSELECTS) {
        ~~~~~ ^  ~~~~~~~~~~~~
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 */ ( )
2 warnings generated.
23 warnings generated.
ar: adding 7 object files to build/temp.macosx-10.12-x86_64-3.8/libnpysort.a
ranlib:@ build/temp.macosx-10.12-x86_64-3.8/libnpysort.a
building 'npyrandom' library
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/random
creating build/temp.macosx-10.12-x86_64-3.8/numpy/random/src
creating build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/distributions
compile options: '-Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/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_hypergeometric.c
gcc: numpy/random/src/distributions/random_mvhg_marginals.c
gcc: numpy/random/src/distributions/random_mvhg_count.c
ar: adding 5 object files to build/temp.macosx-10.12-x86_64-3.8/libnpyrandom.a
ranlib:@ build/temp.macosx-10.12-x86_64-3.8/libnpyrandom.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using new_build_ext
get_default_fcompiler: matching types: '['gnu95', 'nag', 'absoft', 'ibm', 'intel', 'gnu', 'g95', 'pg']'
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler 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

creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray
creating build/temp.macosx-10.12-x86_64-3.8/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-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: numpy/core/src/common/mem_overlap.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/_multiarray_tests.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpymath -o build/lib.macosx-10.12-x86_64-3.8/numpy/core/_multiarray_tests.cpython-38-darwin.so
building 'numpy.core._multiarray_umath' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray
creating build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/umath
creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath
creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/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 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: numpy/core/src/multiarray/alloc.c
gcc: numpy/core/src/multiarray/array_assign_scalar.c
gcc: numpy/core/src/multiarray/buffer.c
gcc: numpy/core/src/multiarray/common.c
gcc: numpy/core/src/multiarray/conversion_utils.c
gcc: numpy/core/src/multiarray/datetime_strings.c
gcc: numpy/core/src/multiarray/descriptor.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/einsum.c
gcc: numpy/core/src/multiarray/arrayobject.c
gcc: numpy/core/src/multiarray/array_assign_array.c
gcc: numpy/core/src/multiarray/ctors.c
numpy/core/src/multiarray/einsum.c.src:2158:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
#pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                               ^
gcc: numpy/core/src/multiarray/convert.c
gcc: numpy/core/src/multiarray/datetime_busday.c
gcc: numpy/core/src/multiarray/calculation.c
gcc: numpy/core/src/multiarray/arrayfunction_override.c
gcc: numpy/core/src/multiarray/convert_datatype.c
gcc: numpy/core/src/multiarray/hashdescr.c
gcc: numpy/core/src/multiarray/datetime_busdaycal.c
gcc: numpy/core/src/multiarray/dragon4.c
gcc: numpy/core/src/multiarray/item_selection.c
gcc: numpy/core/src/multiarray/compiled_base.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/arraytypes.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/lowlevel_strided_loops.c
In file included from numpy/core/src/multiarray/item_selection.c:25:
numpy/core/src/common/npy_partition.h.src:98:15: warning: comparison of constant 1 with expression of type 'NPY_SELECTKIND' is always false [-Wtautological-constant-out-of-range-compare]
    if (which >= NPY_NSELECTS) {
        ~~~~~ ^  ~~~~~~~~~~~~
In file included from numpy/core/src/multiarray/item_selection.c:26:
numpy/core/src/common/npy_binsearch.h.src:110:14: warning: comparison of constant 2 with expression of type 'NPY_SEARCHSIDE' is always false [-Wtautological-constant-out-of-range-compare]
    if (side >= NPY_NSEARCHSIDES) {
        ~~~~ ^  ~~~~~~~~~~~~~~~~
numpy/core/src/common/npy_binsearch.h.src:110:14: warning: comparison of constant 2 with expression of type 'NPY_SEARCHSIDE' is always false [-Wtautological-constant-out-of-range-compare]
    if (side >= NPY_NSEARCHSIDES) {
        ~~~~ ^  ~~~~~~~~~~~~~~~~
numpy/core/src/multiarray/item_selection.c:1244:15: warning: comparison of unsigned enum expression < 0 is always false [-Wtautological-compare]
    if (which < 0 || which >= NPY_NSORTS) {
        ~~~~~ ^ ~
numpy/core/src/multiarray/item_selection.c:1353:15: warning: comparison of unsigned enum expression < 0 is always false [-Wtautological-compare]
    if (which < 0 || which >= NPY_NSELECTS) {
        ~~~~~ ^ ~
numpy/core/src/multiarray/item_selection.c:1353:28: warning: comparison of constant 1 with expression of type 'NPY_SELECTKIND' is always false [-Wtautological-constant-out-of-range-compare]
    if (which < 0 || which >= NPY_NSELECTS) {
                     ~~~~~ ^  ~~~~~~~~~~~~
gcc: numpy/core/src/multiarray/multiarraymodule.c
gcc: numpy/core/src/multiarray/datetime.c
gcc: numpy/core/src/multiarray/dtype_transfer.c
gcc: numpy/core/src/multiarray/nditer_constr.c
6 warnings generated.
gcc: numpy/core/src/multiarray/iterators.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: numpy/core/src/multiarray/temp_elide.c
gcc: numpy/core/src/multiarray/typeinfo.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/scalartypes.c
gcc: numpy/core/src/multiarray/usertypes.c
gcc: numpy/core/src/multiarray/vdot.c
gcc: numpy/core/src/umath/umathmodule.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/loops.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/nditer_templ.c
gcc: numpy/core/src/multiarray/nditer_pywrap.c
gcc: numpy/core/src/umath/reduction.c
In file included from numpy/core/src/umath/loops.c.src:47:
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) && (labs(steps[0]) < 2*2*8)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) && (labs(steps[0]) < 2*8*8)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) && (labs(steps[0]) < 2*8*8)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) && (labs(steps[0]) < 2*2*16)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) && (labs(steps[0]) < 2*8*16)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) && (labs(steps[0]) < 2*8*16)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
gcc: numpy/core/src/umath/ufunc_object.c
gcc: numpy/core/src/multiarray/number.c
gcc: numpy/core/src/multiarray/strfuncs.c
gcc: numpy/core/src/umath/ufunc_type_resolution.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/ieee754.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math_complex.c
gcc: numpy/core/src/npymath/halffloat.c
gcc: numpy/core/src/umath/override.c
gcc: numpy/core/src/common/array_assign.c
gcc: numpy/core/src/common/mem_overlap.c
gcc: numpy/core/src/npymath/npy_math.c
gcc: numpy/core/src/multiarray/nditer_api.c
gcc: numpy/core/src/umath/extobj.c
gcc: numpy/core/src/common/npy_longdouble.c
gcc: numpy/core/src/common/ucsnarrow.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/scalarmath.c
gcc: numpy/core/src/common/ufunc_override.c
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_cpu_features.c
numpy/core/src/umath/loops.c.src:2599:22: warning: code will never be executed [-Wunreachable-code]
        npy_intp n = dimensions[0];
                     ^~~~~~~~~~
numpy/core/src/umath/loops.c.src:2598:29: note: silence by adding parentheses to mark code as explicitly dead
    if (IS_BINARY_REDUCE && 0) {
                            ^
                            /* DISABLES CODE */ ( )
numpy/core/src/umath/loops.c.src:2599:22: warning: code will never be executed [-Wunreachable-code]
        npy_intp n = dimensions[0];
                     ^~~~~~~~~~
numpy/core/src/umath/loops.c.src:2598:29: note: silence by adding parentheses to mark code as explicitly dead
    if (IS_BINARY_REDUCE && 0) {
                            ^
                            /* DISABLES CODE */ ( )
numpy/core/src/umath/loops.c.src:2599:22: warning: code will never be executed [-Wunreachable-code]
        npy_intp n = dimensions[0];
                     ^~~~~~~~~~
numpy/core/src/umath/loops.c.src:2598:29: note: silence by adding parentheses to mark code as explicitly dead
    if (IS_BINARY_REDUCE && 0) {
                            ^
                            /* DISABLES CODE */ ( )
gcc: numpy/core/src/common/numpyos.c
gcc: numpy/core/src/multiarray/mapping.c
gcc: numpy/core/src/multiarray/methods.c
1 warning generated.
gcc: numpy/core/src/multiarray/flagsobject.c
gcc: numpy/core/src/multiarray/getset.c
59 warnings generated.
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/matmul.c
numpy/core/src/umath/matmul.c.src:48:1: warning: unused function 'is_blasable2d' [-Wunused-function]
is_blasable2d(npy_intp byte_stride1, npy_intp byte_stride2,
^
1 warning generated.
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/clip.c
In file included from numpy/core/src/umath/clip.c.src:15:
In file included from numpy/core/src/umath/fast_loop_macros.h:13:
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) && (labs(steps[0]) < 2*2*8)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/2), 64)) && (labs(steps[0]) < 2*8*8)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(8/1), 64)) && (labs(steps[0]) < 2*8*8)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) && (labs(steps[0]) < 2*2*16)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/2), 64)) && (labs(steps[0]) < 2*8*16)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if ((IS_OUTPUT_BLOCKABLE_UNARY((npy_uint)(16/1), 64)) && (labs(steps[0]) < 2*8*16)) {
         ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:252:10: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:122:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
    ((abs(steps[0]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:123:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[1]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP) {
        ^
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:290:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:124:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP'
     (abs(steps[2]) < MAX_STEP_SIZE)  && \
      ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 32)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_double), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:331:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:357:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: warning: absolute value function 'abs' given an argument of type 'const npy_intp' (aka 'const long') but has parameter of type 'int' which may cause truncation of value [-Wabsolute-value]
    if (IS_OUTPUT_BLOCKABLE_UNARY(sizeof(npy_float), 64)) {
        ^
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
numpy/core/src/umath/simd.inc.src:378:9: note: use function 'labs' instead
numpy/core/src/umath/simd.inc.src:134:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY'
    (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \
                            ^
56 warnings generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/alloc.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/arrayobject.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/arraytypes.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/array_assign_scalar.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/array_assign_array.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/arrayfunction_override.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/buffer.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/calculation.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/compiled_base.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/common.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/convert.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/convert_datatype.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/conversion_utils.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/ctors.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/datetime.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/datetime_strings.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/datetime_busday.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/datetime_busdaycal.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/descriptor.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/dragon4.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/dtype_transfer.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/einsum.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/flagsobject.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/getset.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/hashdescr.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/item_selection.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/iterators.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/lowlevel_strided_loops.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/mapping.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/methods.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/multiarraymodule.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/nditer_templ.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/nditer_api.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/nditer_constr.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/nditer_pywrap.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/number.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/refcount.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/sequence.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/shape.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/scalarapi.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/scalartypes.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/strfuncs.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/temp_elide.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/typeinfo.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/usertypes.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/multiarray/vdot.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/umath/umathmodule.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/umath/reduction.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/loops.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/matmul.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/clip.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/umath/ufunc_object.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/umath/extobj.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/scalarmath.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/umath/ufunc_type_resolution.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/umath/override.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/ieee754.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/npy_math_complex.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/npymath/halffloat.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/common/array_assign.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/common/mem_overlap.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_longdouble.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/common/ucsnarrow.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/common/ufunc_override.o build/temp.macosx-10.12-x86_64-3.8/numpy/core/src/common/numpyos.o build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/common/npy_cpu_features.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpymath -lnpysort -o build/lib.macosx-10.12-x86_64-3.8/numpy/core/_multiarray_umath.cpython-38-darwin.so
building 'numpy.core._umath_tests' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

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-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_umath_tests.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_umath_tests.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -o build/lib.macosx-10.12-x86_64-3.8/numpy/core/_umath_tests.cpython-38-darwin.so
building 'numpy.core._rational_tests' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

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-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_rational_tests.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_rational_tests.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -o build/lib.macosx-10.12-x86_64-3.8/numpy/core/_rational_tests.cpython-38-darwin.so
building 'numpy.core._struct_ufunc_tests' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

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-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_struct_ufunc_tests.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_struct_ufunc_tests.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -o build/lib.macosx-10.12-x86_64-3.8/numpy/core/_struct_ufunc_tests.cpython-38-darwin.so
building 'numpy.core._operand_flag_tests' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

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-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_operand_flag_tests.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/core/src/umath/_operand_flag_tests.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -o build/lib.macosx-10.12-x86_64-3.8/numpy/core/_operand_flag_tests.cpython-38-darwin.so
building 'numpy.fft._pocketfft_internal' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/fft
compile options: '-Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: numpy/fft/_pocketfft.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/fft/_pocketfft.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -o build/lib.macosx-10.12-x86_64-3.8/numpy/fft/_pocketfft_internal.cpython-38-darwin.so
building 'numpy.linalg.lapack_lite' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/linalg
creating build/temp.macosx-10.12-x86_64-3.8/numpy/linalg/lapack_lite
compile options: '-DNO_ATLAS_INFO=1 -I/usr/local/include -I/usr/include -I/Users/warren/py381/include -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: numpy/linalg/lapack_litemodule.c
gcc: numpy/linalg/lapack_lite/python_xerbla.c
/Users/warren/bin/gfortran -Wall -g -Wall -g -undefined dynamic_lookup -bundle build/temp.macosx-10.12-x86_64-3.8/numpy/linalg/lapack_litemodule.o build/temp.macosx-10.12-x86_64-3.8/numpy/linalg/lapack_lite/python_xerbla.o -L/usr/lib -L/usr/local/gcc-6.1.0/lib/gcc/x86_64-apple-darwin13.4.0/6.1.0 -L/usr/local/gcc-6.1.0/lib/gcc/x86_64-apple-darwin13.4.0/6.1.0/../../.. -L/usr/local/gcc-6.1.0/lib/gcc/x86_64-apple-darwin13.4.0/6.1.0/../../.. -Lbuild/temp.macosx-10.12-x86_64-3.8 -llapack -llapack -lblas -lblas -lgfortran -o build/lib.macosx-10.12-x86_64-3.8/numpy/linalg/lapack_lite.cpython-38-darwin.so
building 'numpy.linalg._umath_linalg' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/linalg
compile options: '-DNO_ATLAS_INFO=1 -I/usr/local/include -I/usr/include -I/Users/warren/py381/include -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-std=c99'
gcc: build/src.macosx-10.12-x86_64-3.8/numpy/linalg/umath_linalg.c
numpy/linalg/umath_linalg.c.src:734:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option]
#pragma GCC diagnostic ignored "-Wmaybe-uninitialized"
                               ^
numpy/linalg/umath_linalg.c.src:540:1: warning: unused function 'dump_ufunc_object' [-Wunused-function]
dump_ufunc_object(PyUFuncObject* ufunc)
^
numpy/linalg/umath_linalg.c.src:565:1: warning: unused function 'dump_linearize_data' [-Wunused-function]
dump_linearize_data(const char* name, const LINEARIZE_DATA_t* params)
^
numpy/linalg/umath_linalg.c.src:601:1: warning: unused function 'dump_FLOAT_matrix' [-Wunused-function]
dump_FLOAT_matrix(const char* name,
^
numpy/linalg/umath_linalg.c.src:601:1: warning: unused function 'dump_DOUBLE_matrix' [-Wunused-function]
dump_DOUBLE_matrix(const char* name,
^
numpy/linalg/umath_linalg.c.src:601:1: warning: unused function 'dump_CFLOAT_matrix' [-Wunused-function]
dump_CFLOAT_matrix(const char* name,
^
numpy/linalg/umath_linalg.c.src:601:1: warning: unused function 'dump_CDOUBLE_matrix' [-Wunused-function]
dump_CDOUBLE_matrix(const char* name,
^
numpy/linalg/umath_linalg.c.src:864:1: warning: unused function 'zero_FLOAT_matrix' [-Wunused-function]
zero_FLOAT_matrix(void *dst_in, const LINEARIZE_DATA_t* data)
^
numpy/linalg/umath_linalg.c.src:864:1: warning: unused function 'zero_DOUBLE_matrix' [-Wunused-function]
zero_DOUBLE_matrix(void *dst_in, const LINEARIZE_DATA_t* data)
^
numpy/linalg/umath_linalg.c.src:864:1: warning: unused function 'zero_CFLOAT_matrix' [-Wunused-function]
zero_CFLOAT_matrix(void *dst_in, const LINEARIZE_DATA_t* data)
^
numpy/linalg/umath_linalg.c.src:864:1: warning: unused function 'zero_CDOUBLE_matrix' [-Wunused-function]
zero_CDOUBLE_matrix(void *dst_in, const LINEARIZE_DATA_t* data)
^
numpy/linalg/umath_linalg.c.src:1861:1: warning: unused function 'dump_geev_params' [-Wunused-function]
dump_geev_params(const char *name, GEEV_PARAMS_t* params)
^
numpy/linalg/umath_linalg.c.src:2131:1: warning: unused function 'init_cgeev' [-Wunused-function]
init_cgeev(GEEV_PARAMS_t* params,
^
numpy/linalg/umath_linalg.c.src:2212:1: warning: unused function 'process_cgeev_results' [-Wunused-function]
process_cgeev_results(GEEV_PARAMS_t *NPY_UNUSED(params))
^
numpy/linalg/umath_linalg.c.src:2375:1: warning: unused function 'dump_gesdd_params' [-Wunused-function]
dump_gesdd_params(const char *name,
^
numpy/linalg/umath_linalg.c.src:2861:1: warning: unused function 'dump_gelsd_params' [-Wunused-function]
dump_gelsd_params(const char *name,
^
16 warnings generated.
/Users/warren/bin/gfortran -Wall -g -Wall -g -undefined dynamic_lookup -bundle build/temp.macosx-10.12-x86_64-3.8/build/src.macosx-10.12-x86_64-3.8/numpy/linalg/umath_linalg.o build/temp.macosx-10.12-x86_64-3.8/numpy/linalg/lapack_lite/python_xerbla.o -L/usr/lib -L/usr/local/gcc-6.1.0/lib/gcc/x86_64-apple-darwin13.4.0/6.1.0 -L/usr/local/gcc-6.1.0/lib/gcc/x86_64-apple-darwin13.4.0/6.1.0/../../.. -L/usr/local/gcc-6.1.0/lib/gcc/x86_64-apple-darwin13.4.0/6.1.0/../../.. -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpymath -llapack -llapack -lblas -lblas -lgfortran -o build/lib.macosx-10.12-x86_64-3.8/numpy/linalg/_umath_linalg.cpython-38-darwin.so
building 'numpy.random._mt19937' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/mt19937
compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/random/src/mt19937 -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/_mt19937.c
gcc: numpy/random/src/mt19937/mt19937.c
gcc: numpy/random/src/mt19937/mt19937-jump.c
numpy/random/_mt19937.c:5811:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
1 warning generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/_mt19937.o build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/mt19937/mt19937.o build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/mt19937/mt19937-jump.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/_mt19937.cpython-38-darwin.so
building 'numpy.random._philox' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/philox
compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/random/src/philox -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/_philox.c
gcc: numpy/random/src/philox/philox.c
numpy/random/_philox.c:5736:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
1 warning generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/_philox.o build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/philox/philox.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/_philox.cpython-38-darwin.so
building 'numpy.random._pcg64' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/pcg64
compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/random/src/pcg64 -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/_pcg64.c
gcc: numpy/random/src/pcg64/pcg64.c
numpy/random/_pcg64.c:5422:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
1 warning generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/_pcg64.o build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/pcg64/pcg64.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/_pcg64.cpython-38-darwin.so
building 'numpy.random._sfc64' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/sfc64
compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/random/src/sfc64 -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/_sfc64.c
gcc: numpy/random/src/sfc64/sfc64.c
numpy/random/_sfc64.c:4823:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
1 warning generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/_sfc64.o build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/sfc64/sfc64.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/_sfc64.cpython-38-darwin.so
building 'numpy.random._common' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/_common.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/_common.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/_common.cpython-38-darwin.so
building 'numpy.random.bit_generator' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/bit_generator.c
numpy/random/bit_generator.c:10857:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/bit_generator.c:11030:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/bit_generator.c:11119:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/bit_generator.c:11216:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/bit_generator.c:15651:5: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
    0,
    ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
5 warnings generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/bit_generator.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/bit_generator.cpython-38-darwin.so
building 'numpy.random._generator' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/_generator.c
numpy/random/_generator.c:37486:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/_generator.c:37675:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/_generator.c:37794:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/_generator.c:38055:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
numpy/random/_generator.c:38201:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
5 warnings generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/_generator.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/_generator.cpython-38-darwin.so
building 'numpy.random._bounded_integers' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -Inumpy/random -Inumpy/random/src -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/_bounded_integers.c
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/_bounded_integers.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lnpyrandom -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/_bounded_integers.cpython-38-darwin.so
building 'numpy.random.mtrand' extension
compiling C sources
C compiler: gcc -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall

creating build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/legacy
compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNPY_NO_DEPRECATED_API=0 -DNP_RANDOM_LEGACY=1 -Inumpy/random -Inumpy/random/src -Inumpy/random/src/legacy -Inumpy/core/include -Ibuild/src.macosx-10.12-x86_64-3.8/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/warren/py381/include/python3.8 -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/common -Ibuild/src.macosx-10.12-x86_64-3.8/numpy/core/src/npymath -c'
extra options: '-U__GNUC_GNU_INLINE__ -std=c99'
gcc: numpy/random/mtrand.c
gcc: numpy/random/src/legacy/legacy-distributions.c
gcc: numpy/random/src/distributions/distributions.c
numpy/random/mtrand.c:22190:3: warning: 'tp_print' is deprecated [-Wdeprecated-declarations]
  0, /*tp_print*/
  ^
/Users/warren/py381/include/python3.8/cpython/object.h:260:5: note: 'tp_print' has been explicitly marked deprecated here
    Py_DEPRECATED(3.8) int (*tp_print)(PyObject *, FILE *, int);
    ^
/Users/warren/py381/include/python3.8/pyport.h:515:54: note: expanded from macro 'Py_DEPRECATED'
#define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__))
                                                     ^
1 warning generated.
gcc -bundle -undefined dynamic_lookup build/temp.macosx-10.12-x86_64-3.8/numpy/random/mtrand.o build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/legacy/legacy-distributions.o build/temp.macosx-10.12-x86_64-3.8/numpy/random/src/distributions/distributions.o -Lbuild/temp.macosx-10.12-x86_64-3.8 -lm -o build/lib.macosx-10.12-x86_64-3.8/numpy/random/mtrand.cpython-38-darwin.so
running install
running install_lib
creating /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy
copying build/lib.macosx-10.12-x86_64-3.8/numpy/__config__.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy
copying build/lib.macosx-10.12-x86_64-3.8/numpy/__init__.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy
copying build/lib.macosx-10.12-x86_64-3.8/numpy/_distributor_init.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy
copying build/lib.macosx-10.12-x86_64-3.8/numpy/_globals.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy
copying build/lib.macosx-10.12-x86_64-3.8/numpy/_pytesttester.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy
creating /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/compat
copying build/lib.macosx-10.12-x86_64-3.8/numpy/compat/__init__.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/compat
copying build/lib.macosx-10.12-x86_64-3.8/numpy/compat/_inspect.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/compat
copying build/lib.macosx-10.12-x86_64-3.8/numpy/compat/py3k.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/compat
copying build/lib.macosx-10.12-x86_64-3.8/numpy/compat/setup.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/compat
copying build/lib.macosx-10.12-x86_64-3.8/numpy/conftest.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy
creating /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/__init__.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_add_newdocs.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_asarray.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_dtype.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_dtype_ctypes.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_exceptions.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_internal.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_methods.py -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_multiarray_tests.cpython-38-darwin.so -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_multiarray_umath.cpython-38-darwin.so -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_operand_flag_tests.cpython-38-darwin.so -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
copying build/lib.macosx-10.12-x86_64-3.8/numpy/core/_rational_tests.cpython-38-darwin.so -> /Users/warren/repos/git/forks/numpy/build/testenv/lib/python3.8/site-packages/numpy/core
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