jpvantassel / hvsrpy

A Python package for Horizontal-to-Vertical (H/V, HVSR) Spectral Ratio Processing.
https://pypi.org/project/hvsrpy/
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Issue with installing hvsrpy #18

Closed ebuka-nweke closed 1 year ago

ebuka-nweke commented 1 year ago

Hey Joe,

I ma having some issue installing hvsrpy on my Jupiter lab. I run it via anaconda navigator to manage my environments and I am trying to install it on my obspy environment. The traceback/installation error I get when I execute "!pip install hvsrpy" is attached

issue installing hvsrpy.docx

jpvantassel commented 1 year ago

Hi @ebuka-nweke, Please remove the attached docx from your post and instead copy and paste the full error message directly into the post. Doing so will allow others in the hvsrpy community to more-easily benefit from the resolution of the issue.

ebuka-nweke commented 1 year ago

ok. I tired to do os thew first time but it said that it exceeded the allowable character count. I will post in sections

ebuka-nweke commented 1 year ago

Collecting hvsrpy Using cached hvsrpy-1.0.0-py3-none-any.whl (50 kB) Collecting termcolor Using cached termcolor-2.0.1-py3-none-any.whl (5.4 kB) Collecting shapely Using cached Shapely-1.8.5.post1-cp310-cp310-macosx_10_9_x86_64.whl (1.2 MB) Collecting sigpropy>=1.0.0 Using cached sigpropy-1.0.0-py3-none-any.whl (29 kB) Requirement already satisfied: matplotlib in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from hvsrpy) (3.6.1) Requirement already satisfied: pandas in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from hvsrpy) (1.5.1) Collecting click>8.0.0 Using cached click-8.1.3-py3-none-any.whl (96 kB) Requirement already satisfied: scipy in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from hvsrpy) (1.9.2) Collecting numpy<=1.20 Using cached numpy-1.20.0.zip (8.0 MB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... done Requirement already satisfied: obspy in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from hvsrpy) (1.3.1) Collecting numba Using cached numba-0.56.3-cp310-cp310-macosx_10_14_x86_64.whl (2.4 MB) Requirement already satisfied: pyparsing>=2.2.1 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (3.0.9) Requirement already satisfied: contourpy>=1.0.1 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (1.0.5) Requirement already satisfied: pillow>=6.2.0 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (9.2.0) Requirement already satisfied: kiwisolver>=1.0.1 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (1.4.4) Requirement already satisfied: fonttools>=4.22.0 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (4.37.4) Requirement already satisfied: packaging>=20.0 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (21.3) Requirement already satisfied: python-dateutil>=2.7 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (2.8.2) Requirement already satisfied: cycler>=0.10 in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from matplotlib->hvsrpy) (0.11.0) Requirement already satisfied: lxml in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from obspy->hvsrpy) (4.9.1) Requirement already satisfied: requests in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from obspy->hvsrpy) (2.28.1) Requirement already satisfied: setuptools in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from obspy->hvsrpy) (65.5.0) Requirement already satisfied: decorator in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from obspy->hvsrpy) (5.1.1) Requirement already satisfied: sqlalchemy in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib/python3.10/site-packages (from obspy->hvsrpy) (1.4.42) Collecting pandas Using cached pandas-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl (12.0 MB) Using cached pandas-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl (11.5 MB) Using cached pandas-1.4.3-cp310-cp310-macosx_10_9_x86_64.whl (11.5 MB) Using cached pandas-1.4.2-cp310-cp310-macosx_10_9_x86_64.whl (11.1 MB) Using cached pandas-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl (11.5 MB) Using cached pandas-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl (11.5 MB) Using cached pandas-1.3.5-cp310-cp310-macosx_10_9_x86_64.whl (11.3 MB) Using cached pandas-1.3.4-cp310-cp310-macosx_10_9_universal2.whl (17.7 MB) Using cached pandas-1.3.3.tar.gz (4.7 MB) Installing build dependencies ... error error: subprocess-exited-with-error

× pip subprocess to install build dependencies did not run successfully. │ exit code: 1 ╰─> [1569 lines of output] Ignoring numpy: markers 'python_version == "3.7" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and (platform_machine != "arm64" or platform_system != "Darwin") and platform_machine != "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.7" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "aarch64"' don't match your environment Ignoring numpy: markers 'python_version == "3.8" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Ignoring numpy: markers 'python_version == "3.9" and platform_machine == "arm64" and platform_system == "Darwin"' don't match your environment Collecting setuptools>=51.0.0 Using cached setuptools-65.5.0-py3-none-any.whl (1.2 MB) Collecting wheel Using cached wheel-0.37.1-py2.py3-none-any.whl (35 kB) Collecting Cython<3,>=0.29.21 Using cached Cython-0.29.32-py2.py3-none-any.whl (986 kB) Collecting numpy==1.19.3 Using cached numpy-1.19.3.zip (7.3 MB) Installing build dependencies: started Installing build dependencies: finished with status 'done' Getting requirements to build wheel: started Getting requirements to build wheel: finished with status 'done' Preparing metadata (pyproject.toml): started Preparing metadata (pyproject.toml): finished with status 'done' Building wheels for collected packages: numpy Building wheel for numpy (pyproject.toml): started Building wheel for numpy (pyproject.toml): finished with status 'error' error: subprocess-exited-with-error

    × Building wheel for numpy (pyproject.toml) did not run successfully.
    │ exit code: 1
    ╰─> [1535 lines of output]
        setup.py:67: RuntimeWarning: NumPy 1.19.3 may not yet support Python 3.10.
          warnings.warn(
        Running from numpy source directory.
        numpy/random/_bounded_integers.pxd.in has not changed
        numpy/random/_philox.pyx has not changed
        numpy/random/_bounded_integers.pyx.in has not changed
        numpy/random/_sfc64.pyx has not changed
        numpy/random/_mt19937.pyx has not changed
        numpy/random/bit_generator.pyx has not changed
        Processing numpy/random/_bounded_integers.pyx
        numpy/random/mtrand.pyx has not changed
        numpy/random/_generator.pyx has not changed
        numpy/random/_pcg64.pyx has not changed
        numpy/random/_common.pyx has not changed
        Cythonizing sources
        blas_opt_info:
        blas_mkl_info:
        customize UnixCCompiler
          libraries mkl_rt not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        blis_info:
          libraries blis not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        openblas_info:
          libraries openblas not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        atlas_3_10_blas_threads_info:
        Setting PTATLAS=ATLAS
          libraries tatlas not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        atlas_3_10_blas_info:
          libraries satlas not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        atlas_blas_threads_info:
        Setting PTATLAS=ATLAS
          libraries ptf77blas,ptcblas,atlas not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        atlas_blas_info:
          libraries f77blas,cblas,atlas not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        accelerate_info:
          libraries accelerate not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
        Library accelerate was not found. Ignoring
          libraries veclib not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
        Library veclib was not found. Ignoring
          FOUND:
            extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
            extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
            define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]

          FOUND:
            extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
            extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
            define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]

        non-existing path in 'numpy/distutils': 'site.cfg'
        lapack_opt_info:
        lapack_mkl_info:
          libraries mkl_rt not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        openblas_lapack_info:
          libraries openblas not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        openblas_clapack_info:
          libraries openblas,lapack not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        flame_info:
          libraries flame not found in ['/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib', '/usr/lib']
          NOT AVAILABLE

        atlas_3_10_threads_info:
        Setting PTATLAS=ATLAS
          libraries lapack_atlas not found in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib
          libraries tatlas,tatlas not found in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/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/chukwuebukanweke/opt/anaconda3/envs/obspy/lib
          libraries satlas,satlas not found in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/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/chukwuebukanweke/opt/anaconda3/envs/obspy/lib
          libraries ptf77blas,ptcblas,atlas not found in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/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/chukwuebukanweke/opt/anaconda3/envs/obspy/lib
          libraries f77blas,cblas,atlas not found in /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/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

          FOUND:
            extra_compile_args = ['-msse3', '-I/System/Library/Frameworks/vecLib.framework/Headers']
            extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
            define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]

        /private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-build-env-jzo5o5z4/overlay/lib/python3.10/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
          warnings.warn(msg)
        running bdist_wheel
        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
        building library "npymath" sources
        Could not locate executable gfortran
        Could not locate executable f95
        Could not locate executable f90
        Could not locate executable f77
        Could not locate executable xlf90
        Could not locate executable xlf
        Could not locate executable ifort
        Could not locate executable ifc
        Could not locate executable g77
        Could not locate executable g95
        Could not locate executable pgfortran
        don't know how to compile Fortran code on platform 'posix'
          adding 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath' to include_dirs.
        None - nothing done with h_files = ['build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath/npy_math_internal.h']
        building library "npysort" sources
          adding 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common' to include_dirs.
        None - nothing done with h_files = ['build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common/npy_sort.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common/npy_partition.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common/npy_binsearch.h']
        building library "npyrandom" sources
        building extension "numpy.core._multiarray_tests" sources
        building extension "numpy.core._multiarray_umath" sources
          adding 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath' to include_dirs.
          adding 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath' to include_dirs.
          adding 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common' to include_dirs.
        numpy.core - nothing done with h_files = ['build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/funcs.inc', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/simd.inc', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/loops.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/matmul.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/clip.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common/templ_common.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy/config.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy/__ufunc_api.h']
        building extension "numpy.core._umath_tests" sources
        building extension "numpy.core._rational_tests" sources
        building extension "numpy.core._struct_ufunc_tests" sources
        building extension "numpy.core._operand_flag_tests" sources
        building extension "numpy.fft._pocketfft_internal" sources
        building extension "numpy.linalg.lapack_lite" sources
        building extension "numpy.linalg._umath_linalg" sources
        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-10.9-x86_64-3.10
        creating build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/conftest.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/version.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/_globals.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/dual.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/_distributor_init.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/ctypeslib.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/matlib.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying numpy/_pytesttester.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        copying build/src.macosx-10.9-x86_64-3.10/numpy/__config__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy
        creating build/lib.macosx-10.9-x86_64-3.10/numpy/compat
        copying numpy/compat/py3k.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/compat
        copying numpy/compat/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/compat
        copying numpy/compat/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/compat
        copying numpy/compat/_inspect.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/compat
        creating build/lib.macosx-10.9-x86_64-3.10/numpy/compat/tests
        copying numpy/compat/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/compat/tests
        copying numpy/compat/tests/test_compat.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/compat/tests
        creating build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/umath.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/fromnumeric.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_dtype.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_add_newdocs.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_methods.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_internal.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_string_helpers.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/multiarray.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_asarray.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/records.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/setup_common.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/memmap.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/overrides.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/getlimits.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_dtype_ctypes.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/defchararray.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/shape_base.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/machar.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/numeric.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/function_base.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/einsumfunc.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/umath_tests.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_ufunc_config.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_exceptions.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/numerictypes.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/_type_aliases.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/cversions.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
        copying numpy/core/arrayprint.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
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        creating build/temp.macosx-10.9-x86_64-3.10/numpy/core/src/npymath
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        creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy
        creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core
        creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src
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        compile options: '-Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10 -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -c'
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        building 'npysort' library
        compiling C sources
        C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include

        creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort
        compile options: '-Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10 -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -c'
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort/quicksort.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort/mergesort.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort/timsort.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort/heapsort.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort/selection.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort/binsearch.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npysort/radixsort.c
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
                npy_intp k;
                ^~~~~~~~~~~
        numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
            else if (0 && kth == num - 1) {
                     ^
                     /* DISABLES CODE */ ( )
        22 warnings generated.
        ar: adding 7 object files to build/temp.macosx-10.9-x86_64-3.10/libnpysort.a
        ranlib:@ build/temp.macosx-10.9-x86_64-3.10/libnpysort.a
        building 'npyrandom' library
        compiling C sources
        C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include

        creating build/temp.macosx-10.9-x86_64-3.10/numpy/random
        creating build/temp.macosx-10.9-x86_64-3.10/numpy/random/src
        creating build/temp.macosx-10.9-x86_64-3.10/numpy/random/src/distributions
        compile options: '-Inumpy/core/include -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10 -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -c'
        clang: numpy/random/src/distributions/logfactorial.c
        clang: numpy/random/src/distributions/distributions.c
        clang: numpy/random/src/distributions/random_mvhg_count.c
        clang: numpy/random/src/distributions/random_mvhg_marginals.c
        clang: numpy/random/src/distributions/random_hypergeometric.c
        ar: adding 5 object files to build/temp.macosx-10.9-x86_64-3.10/libnpyrandom.a
        ranlib:@ build/temp.macosx-10.9-x86_64-3.10/libnpyrandom.a
        running build_ext
        customize UnixCCompiler
        customize UnixCCompiler using new_build_ext
        building 'numpy.core._multiarray_tests' extension
        compiling C sources
        C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include

        creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray
        creating build/temp.macosx-10.9-x86_64-3.10/numpy/core/src/common
        compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10 -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -c'
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/_multiarray_tests.c
        clang: numpy/core/src/common/mem_overlap.c
        clang -bundle -undefined dynamic_lookup -Wl,-rpath,/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib -L/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib -Wl,-rpath,/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib -L/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/lib build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-10.9-x86_64-3.10/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-10.9-x86_64-3.10 -lnpymath -o build/lib.macosx-10.9-x86_64-3.10/numpy/core/_multiarray_tests.cpython-310-darwin.so
        ld: warning: -undefined dynamic_lookup may not work with chained fixups
        building 'numpy.core._multiarray_umath' extension
        compiling C sources
        C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include

        creating build/temp.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray
        creating build/temp.macosx-10.9-x86_64-3.10/numpy/core/src/umath
        creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath
        creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common
        creating build/temp.macosx-10.9-x86_64-3.10/private
        creating build/temp.macosx-10.9-x86_64-3.10/private/var
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-install-miha2ol3
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-install-miha2ol3/numpy_c0431bd6754b4b1080ee32534131cc4b
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-install-miha2ol3/numpy_c0431bd6754b4b1080ee32534131cc4b/numpy
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-install-miha2ol3/numpy_c0431bd6754b4b1080ee32534131cc4b/numpy/_build_utils
        creating build/temp.macosx-10.9-x86_64-3.10/private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-install-miha2ol3/numpy_c0431bd6754b4b1080ee32534131cc4b/numpy/_build_utils/src
        compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10 -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -c'
        extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers'
        clang: numpy/core/src/multiarray/alloc.c
        clang: numpy/core/src/multiarray/array_assign_scalar.c
        clang: numpy/core/src/multiarray/buffer.c
        clang: numpy/core/src/multiarray/common.c
        clang: numpy/core/src/multiarray/conversion_utils.c
        clang: numpy/core/src/multiarray/datetime_strings.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/einsum.c
        clang: numpy/core/src/multiarray/descriptor.c
        clang: numpy/core/src/multiarray/arrayobject.c
        clang: numpy/core/src/multiarray/array_assign_array.c
        clang: 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"
                                       ^
        clang: numpy/core/src/multiarray/convert.c
        clang: numpy/core/src/multiarray/datetime_busday.c
        clang: numpy/core/src/multiarray/calculation.c
        clang: numpy/core/src/multiarray/arrayfunction_override.c
        clang: numpy/core/src/multiarray/convert_datatype.c
        clang: numpy/core/src/multiarray/dragon4.c
        clang: numpy/core/src/multiarray/datetime_busdaycal.c
        clang: numpy/core/src/multiarray/hashdescr.c
        clang: numpy/core/src/multiarray/compiled_base.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/arraytypes.c
        clang: numpy/core/src/multiarray/item_selection.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/lowlevel_strided_loops.c
        clang: numpy/core/src/multiarray/multiarraymodule.c
        clang: numpy/core/src/multiarray/datetime.c
        clang: numpy/core/src/multiarray/dtype_transfer.c
        clang: numpy/core/src/multiarray/nditer_constr.c
        clang: numpy/core/src/multiarray/refcount.c
        clang: numpy/core/src/multiarray/iterators.c
        clang: numpy/core/src/multiarray/scalarapi.c
        clang: numpy/core/src/multiarray/sequence.c
        clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c
        clang: numpy/core/src/multiarray/shape.c
        numpy/core/src/multiarray/scalartypes.c.src:2967:65: error: too few arguments to function call, expected 2, have 1
            return _Py_HashDouble((double) PyArrayScalar_VAL(obj, Float));
                   ~~~~~~~~~~~~~~                                       ^
        /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10/pyhash.h:10:23: note: '_Py_HashDouble' declared here
        PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                              ^
        numpy/core/src/multiarray/scalartypes.c.src:2976:48: error: too few arguments to function call, expected 2, have 1
                    PyArrayScalar_VAL(obj, CFloat).real);
                                                       ^
        /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10/pyhash.h:10:23: note: '_Py_HashDouble' declared here
        PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                              ^
        numpy/core/src/multiarray/scalartypes.c.src:2982:48: error: too few arguments to function call, expected 2, have 1
                    PyArrayScalar_VAL(obj, CFloat).imag);
                                                       ^
        /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10/pyhash.h:10:23: note: '_Py_HashDouble' declared here
        PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                              ^
        numpy/core/src/multiarray/scalartypes.c.src:2967:70: error: too few arguments to function call, expected 2, have 1
            return _Py_HashDouble((double) PyArrayScalar_VAL(obj, LongDouble));
                   ~~~~~~~~~~~~~~                                            ^
        /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10/pyhash.h:10:23: note: '_Py_HashDouble' declared here
        PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                              ^
        numpy/core/src/multiarray/scalartypes.c.src:2976:53: error: too few arguments to function call, expected 2, have 1
                    PyArrayScalar_VAL(obj, CLongDouble).real);
                                                            ^
        /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10/pyhash.h:10:23: note: '_Py_HashDouble' declared here
        PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                              ^
        numpy/core/src/multiarray/scalartypes.c.src:2982:53: error: too few arguments to function call, expected 2, have 1
                    PyArrayScalar_VAL(obj, CLongDouble).imag);
                                                            ^
        /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10/pyhash.h:10:23: note: '_Py_HashDouble' declared here
        PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
                              ^
        numpy/core/src/multiarray/scalartypes.c.src:2997:75: error: too few arguments to function call, expected 2, have 1
            return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
                   ~~~~~~~~~~~~~~                                                 ^
        /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10/pyhash.h:10:23: note: '_Py_HashDouble' declared here
        PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
ebuka-nweke commented 1 year ago

clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/nditer_templ.c 7 errors generated. clang: numpy/core/src/multiarray/temp_elide.c clang: numpy/core/src/multiarray/vdot.c clang: numpy/core/src/multiarray/nditer_pywrap.c clang: numpy/core/src/umath/umathmodule.c clang: numpy/core/src/multiarray/typeinfo.c clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/loops.c clang: numpy/core/src/multiarray/usertypes.c clang: numpy/core/src/umath/reduction.c clang: numpy/core/src/multiarray/number.c 1 warning generated. clang: numpy/core/src/multiarray/flagsobject.c In file included from numpy/core/src/umath/loops.c.src:50: numpy/core/src/umath/simd.inc.src:247:10: 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)) && ^ numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: 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)) && ^ numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: 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)) && ^ numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: 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)) && ^ numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: 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)) && ^ numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: 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)) && ^ numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:247:10: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:117:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' ((abs(steps[0]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:118:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[1]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: 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:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:287:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:119:7: note: expanded from macro 'IS_BINARY_SMALL_STEPS_AND_NOMEMOVERLAP' (abs(steps[2]) < MAX_STEP_SIZE) && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:375:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:328:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:354:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:375:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:375:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:396:9: 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:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ numpy/core/src/umath/simd.inc.src:396:9: note: use function 'labs' instead numpy/core/src/umath/simd.inc.src:129:29: note: expanded from macro 'IS_OUTPUT_BLOCKABLE_UNARY' (steps[1] == (esize) && abs(steps[0]) < MAX_STEP_SIZE && \ ^ clang: numpy/core/src/umath/ufunc_object.c clang: numpy/core/src/umath/ufunc_type_resolution.c clang: numpy/core/src/multiarray/getset.c clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath/ieee754.c clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c clang: numpy/core/src/common/array_assign.c clang: numpy/core/src/umath/override.c clang: numpy/core/src/npymath/halffloat.c clang: numpy/core/src/multiarray/nditer_api.c clang: numpy/core/src/common/mem_overlap.c clang: numpy/core/src/common/ucsnarrow.c numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code] npy_intp n = dimensions[0]; ^~~~~~ numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead if (IS_BINARY_REDUCE && 0) { ^ / DISABLES CODE / ( ) clang: numpy/core/src/npymath/npy_math.c numpy/core/src/umath/loops.c.src:2611:22: warning: code will never be executed [-Wunreachable-code] npy_intp n = dimensions[0]; ^~~~~~ numpy/core/src/umath/loops.c.src:2610:29: 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:2611:22: warning: code will never be executed [-Wunreachable-code] npy_intp n = dimensions[0]; ^~~~~~ numpy/core/src/umath/loops.c.src:2610:29: note: silence by adding parentheses to mark code as explicitly dead if (IS_BINARY_REDUCE && 0) { ^ / DISABLES CODE / ( ) clang: numpy/core/src/common/ufunc_override.c clang: numpy/core/src/common/npy_longdouble.c clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/common/npy_cpu_features.c clang: numpy/core/src/common/numpyos.c clang: numpy/core/src/umath/extobj.c clang: /private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-install-miha2ol3/numpy_c0431bd6754b4b1080ee32534131cc4b/numpy/_build_utils/src/apple_sgemv_fix.c clang: numpy/core/src/common/cblasfuncs.c In file included from /private/var/folders/r0/kpr2j2d51sg_ygj52mh_d99r0000gn/T/pip-install-miha2ol3/numpy_c0431bd6754b4b1080ee32534131cc4b/numpy/_build_utils/src/apple_sgemv_fix.c:26: In file included from numpy/core/include/numpy/arrayobject.h:4: In file included from numpy/core/include/numpy/ndarrayobject.h:21: build/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function] _import_array(void) ^ clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/scalarmath.c 1 warning generated. clang: numpy/core/src/common/python_xerbla.c clang: numpy/core/src/multiarray/mapping.c clang: numpy/core/src/multiarray/methods.c 60 warnings generated. clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/matmul.c clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath/clip.c error: Command "clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include -fPIC -O2 -isystem /Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/umath -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/chukwuebukanweke/opt/anaconda3/envs/obspy/include/python3.10 -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/common -Ibuild/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath -c build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c -o build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o.d -msse3 -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1 [end of output]

    note: This error originates from a subprocess, and is likely not a problem with pip.
    ERROR: Failed building wheel for numpy
  Failed to build numpy
  ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
  [end of output]

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

× pip subprocess to install build dependencies did not run successfully. │ exit code: 1 ╰─> See above for output.

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

jpvantassel commented 1 year ago

Hi @ebuka-nweke, hvsrpy does not yet support Python 3.10. Please select a Python version that is supported. Note the supported versions are listed at the top of the projects README. I would recommend Python 3.9.

ebuka-nweke commented 1 year ago

Thank you Joe.

regards,

Buka