Comments (6)
jpvantassel
commented on August 11, 2024
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.
from hvsrpy.
ebuka-nweke
commented on August 11, 2024
ok. I tired to do os thew first time but it said that it exceeded the allowable character count. I will post in sections
from hvsrpy.
ebuka-nweke
commented on August 11, 2024
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
copying numpy/core/code_generators/generate_numpy_api.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core
creating build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_numerictypes.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalar_methods.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalarmath.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_item_selection.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_machar.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_unicode.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_arrayprint.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalarbuffer.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
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copying numpy/core/tests/test_half.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_mem_overlap.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
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copying numpy/core/tests/test_extint128.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
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copying numpy/core/tests/test_defchararray.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_conversion_utils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalarprint.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
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copying numpy/core/tests/test_dtype.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
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copying numpy/core/tests/test_getlimits.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_einsum.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/core/tests
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copying numpy/distutils/mingw32ccompiler.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/distutils
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copying numpy/distutils/fcompiler/hpux.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/distutils/fcompiler
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copying numpy/lib/nanfunctions.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/recfunctions.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/histograms.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/scimath.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/_version.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/user_array.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/format.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/twodim_base.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/financial.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
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copying numpy/lib/shape_base.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/stride_tricks.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/utils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
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copying numpy/lib/arraysetops.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
copying numpy/lib/arraypad.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
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copying numpy/lib/ufunclike.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib
creating build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
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copying numpy/lib/tests/test_twodim_base.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
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copying numpy/lib/tests/test_ufunclike.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
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copying numpy/lib/tests/test__datasource.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
copying numpy/lib/tests/test_stride_tricks.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
copying numpy/lib/tests/test_financial.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
copying numpy/lib/tests/test_recfunctions.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
copying numpy/lib/tests/test_nanfunctions.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
copying numpy/lib/tests/test_format.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
copying numpy/lib/tests/test_histograms.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
copying numpy/lib/tests/test_regression.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/lib/tests
creating build/lib.macosx-10.9-x86_64-3.10/numpy/linalg
copying numpy/linalg/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/linalg
copying numpy/linalg/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/linalg
copying numpy/linalg/linalg.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/linalg
creating build/lib.macosx-10.9-x86_64-3.10/numpy/linalg/tests
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copying numpy/linalg/tests/test_deprecations.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/linalg/tests
copying numpy/linalg/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/linalg/tests
copying numpy/linalg/tests/test_build.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/linalg/tests
copying numpy/linalg/tests/test_regression.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/linalg/tests
creating build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/extras.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/testutils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/core.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/bench.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/timer_comparison.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
copying numpy/ma/mrecords.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma
creating build/lib.macosx-10.9-x86_64-3.10/numpy/ma/tests
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copying numpy/ma/tests/test_core.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma/tests
copying numpy/ma/tests/test_deprecations.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma/tests
copying numpy/ma/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma/tests
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copying numpy/ma/tests/test_extras.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma/tests
copying numpy/ma/tests/test_mrecords.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma/tests
copying numpy/ma/tests/test_regression.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/ma/tests
creating build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib
copying numpy/matrixlib/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib
copying numpy/matrixlib/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib
copying numpy/matrixlib/defmatrix.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib
creating build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_matrix_linalg.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_defmatrix.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_interaction.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_numeric.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_masked_matrix.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_multiarray.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_regression.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/matrixlib/tests
creating build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/laguerre.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/_polybase.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/polyutils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/hermite_e.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/chebyshev.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/polynomial.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/legendre.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/hermite.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial
creating build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_chebyshev.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite_e.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polynomial.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_laguerre.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_legendre.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_printing.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_classes.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polyutils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/polynomial/tests
creating build/lib.macosx-10.9-x86_64-3.10/numpy/random
copying numpy/random/_pickle.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random
copying numpy/random/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random
copying numpy/random/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random
creating build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_generator_mt19937.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_randomstate.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_direct.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_extending.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_smoke.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_randomstate_regression.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_seed_sequence.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_generator_mt19937_regressions.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_random.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_regression.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/random/tests
creating build/lib.macosx-10.9-x86_64-3.10/numpy/testing
copying numpy/testing/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing
copying numpy/testing/setup.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing
copying numpy/testing/utils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing
copying numpy/testing/print_coercion_tables.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing
creating build/lib.macosx-10.9-x86_64-3.10/numpy/testing/_private
copying numpy/testing/_private/nosetester.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/_private
copying numpy/testing/_private/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/_private
copying numpy/testing/_private/noseclasses.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/_private
copying numpy/testing/_private/utils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/_private
copying numpy/testing/_private/parameterized.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/_private
copying numpy/testing/_private/decorators.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/_private
creating build/lib.macosx-10.9-x86_64-3.10/numpy/testing/tests
copying numpy/testing/tests/test_utils.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/tests
copying numpy/testing/tests/test_decorators.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/tests
copying numpy/testing/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/tests
copying numpy/testing/tests/test_doctesting.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/testing/tests
creating build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/test_warnings.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/test_matlib.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/test_ctypeslib.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/test_numpy_version.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/__init__.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/test_reloading.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/test_public_api.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
copying numpy/tests/test_scripts.py -> build/lib.macosx-10.9-x86_64-3.10/numpy/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using new_build_clib
building 'npymath' 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
creating build/temp.macosx-10.9-x86_64-3.10/numpy
creating build/temp.macosx-10.9-x86_64-3.10/numpy/core
creating build/temp.macosx-10.9-x86_64-3.10/numpy/core/src
creating build/temp.macosx-10.9-x86_64-3.10/numpy/core/src/npymath
creating build/temp.macosx-10.9-x86_64-3.10/build
creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10
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
creating build/temp.macosx-10.9-x86_64-3.10/build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath
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'
clang: numpy/core/src/npymath/npy_math.c
clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath/ieee754.c
clang: numpy/core/src/npymath/halffloat.c
clang: build/src.macosx-10.9-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c
ar: adding 4 object files to build/temp.macosx-10.9-x86_64-3.10/libnpymath.a
ranlib:@ build/temp.macosx-10.9-x86_64-3.10/libnpymath.a
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);
from hvsrpy.
ebuka-nweke
commented on August 11, 2024
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.
from hvsrpy.
jpvantassel
commented on August 11, 2024
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.
from hvsrpy.
ebuka-nweke
commented on August 11, 2024
Thank you Joe.
regards,
Buka
from hvsrpy.
Related Issues (14)
- Missing Azimuthal Statistics in `azimuthal_hvsrpy_interface.ipynb` (v0.4.1)
- Supporting alternate data formats (i.e., not only miniSEED) HOT 12
- Feature Request: Command line interface HOT 3
- API Change Request: Multi-Azimuth Output File
- Combine Three One-Component Miniseed Files to a Single Three-Component File
- Pre-processing? HOT 1
- hvsrpy Community Survey HOT 5
- Clarity criteria don't respect the frequency filter range HOT 2
- CPU number for processing HOT 1
- (Continuous error): ValueError: illegal value in 4-th argument of internal None HOT 1
- Output final results HOT 5
- Problems reading .miniseed files HOT 1
- Problem reading SAF v1 format file HOT 1
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