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metadriverse / metadrive

MetaDrive: Open-source driving simulator
https://metadriverse.github.io/metadrive/
Apache License 2.0
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Error when installing the simulator with Python 3.10: "ERROR: Failed building wheel for numpy" #155

Closed rondey closed 2 years ago

rondey commented 2 years ago

Hello, the installation of the simulator in Python 3.10 fails on both Linux and Windows. I'm facing this problem using the commands "pip3 install -e ." and "pip3 install metadrive-simulator". Python 3.8 and 3.9 don't have the same problem.

Here's the error:

PART 1/2

ERROR: Command errored out with exit status 1:
   command: /usr/bin/python3 /tmp/pip-standalone-pip-guo5mn91/__env_pip__.zip/pip install --ignore-installed --no-user --prefix /tmp/pip-build-env-_kr6vvqp/overlay --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- setuptools wheel scikit-build cmake pip 'numpy==1.13.3; python_version=='"'"'3.6'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.6'"'"' and sys_platform == '"'"'linux'"'"' and platform_machine == '"'"'aarch64'"'"'' 'numpy==1.21.0; python_version>='"'"'3.6'"'"' and sys_platform == '"'"'darwin'"'"' and platform_machine == '"'"'arm64'"'"'' 'numpy==1.14.5; python_version=='"'"'3.7'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"'' 'numpy==1.17.3; python_version=='"'"'3.8'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"''
       cwd: None
  Complete output (971 lines):
  Ignoring numpy: markers 'python_version == "3.6" and platform_machine != "aarch64" and platform_machine != "arm64"' don't match your environment
  Ignoring numpy: markers 'python_version >= "3.6" and sys_platform == "linux" and platform_machine == "aarch64"' don't match your environment
  Ignoring numpy: markers 'python_version >= "3.6" and sys_platform == "darwin" and platform_machine == "arm64"' don't match your environment
  Ignoring numpy: markers 'python_version == "3.7" and platform_machine != "aarch64" and platform_machine != "arm64"' don't match your environment
  Ignoring numpy: markers 'python_version == "3.8" and platform_machine != "aarch64" and platform_machine != "arm64"' don't match your environment
  Collecting setuptools
    Using cached setuptools-60.9.3-py3-none-any.whl (1.1 MB)
  Collecting wheel
    Using cached wheel-0.37.1-py2.py3-none-any.whl (35 kB)
  Collecting scikit-build
    Using cached scikit_build-0.13.1-py2.py3-none-any.whl (75 kB)
  Collecting cmake
    Using cached cmake-3.22.2-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (22.7 MB)
  Collecting pip
    Using cached pip-22.0.4-py3-none-any.whl (2.1 MB)
  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 wheel metadata: started
      Preparing wheel metadata: finished with status 'done'
  Collecting distro
    Using cached distro-1.7.0-py3-none-any.whl (20 kB)
  Collecting packaging
    Using cached packaging-21.3-py3-none-any.whl (40 kB)
  Collecting pyparsing!=3.0.5,>=2.0.2
    Using cached pyparsing-3.0.7-py3-none-any.whl (98 kB)
  Building wheels for collected packages: numpy
    Building wheel for numpy (PEP 517): started
    Building wheel for numpy (PEP 517): still running...
    Building wheel for numpy (PEP 517): finished with status 'error'
    ERROR: Command errored out with exit status 1:
     command: /usr/bin/python3 /tmp/tmp187pkpyv_in_process.py build_wheel /tmp/tmpx6k646is
         cwd: /tmp/pip-install-zir545b5/numpy_a878dba5431048fba439d8ccc2f1d429
    Complete output (930 lines):
    setup.py:67: RuntimeWarning: NumPy 1.19.3 may not yet support Python 3.10.
      warnings.warn(
    Running from numpy source directory.
    /tmp/pip-install-zir545b5/numpy_a878dba5431048fba439d8ccc2f1d429/tools/cythonize.py:67: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
      from distutils.version import LooseVersion
    numpy/random/_bounded_integers.pxd.in has not changed
    Processing numpy/random/_bounded_integers.pyx
    numpy/random/mtrand.pyx has not changed
    numpy/random/_pcg64.pyx has not changed
    numpy/random/bit_generator.pyx has not changed
    numpy/random/_sfc64.pyx has not changed
    numpy/random/_common.pyx has not changed
    numpy/random/_bounded_integers.pyx.in has not changed
    numpy/random/_philox.pyx has not changed
    numpy/random/_generator.pyx has not changed
    numpy/random/_mt19937.pyx has not changed
    Cythonizing sources
    blas_opt_info:
    blas_mkl_info:
    customize UnixCCompiler
      libraries mkl_rt not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    blis_info:
      libraries blis not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    openblas_info:
      libraries openblas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    atlas_3_10_blas_threads_info:
    Setting PTATLAS=ATLAS
      libraries tatlas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    atlas_3_10_blas_info:
      libraries satlas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    atlas_blas_threads_info:
    Setting PTATLAS=ATLAS
      libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    atlas_blas_info:
      libraries f77blas,cblas,atlas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    accelerate_info:
      NOT AVAILABLE

    /tmp/pip-install-zir545b5/numpy_a878dba5431048fba439d8ccc2f1d429/numpy/distutils/system_info.py:1914: UserWarning:
        Optimized (vendor) Blas libraries are not found.
        Falls back to netlib Blas library which has worse performance.
        A better performance should be easily gained by switching
        Blas library.
      if self._calc_info(blas):
    blas_info:
      libraries blas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    /tmp/pip-install-zir545b5/numpy_a878dba5431048fba439d8ccc2f1d429/numpy/distutils/system_info.py:1914: UserWarning:
        Blas (http://www.netlib.org/blas/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [blas]) or by setting
        the BLAS environment variable.
      if self._calc_info(blas):
    blas_src_info:
      NOT AVAILABLE

    /tmp/pip-install-zir545b5/numpy_a878dba5431048fba439d8ccc2f1d429/numpy/distutils/system_info.py:1914: UserWarning:
        Blas (http://www.netlib.org/blas/) sources not found.
        Directories to search for the sources can be specified in the
        numpy/distutils/site.cfg file (section [blas_src]) or by setting
        the BLAS_SRC environment variable.
      if self._calc_info(blas):
      NOT AVAILABLE

    non-existing path in 'numpy/distutils': 'site.cfg'
    lapack_opt_info:
    lapack_mkl_info:
      libraries mkl_rt not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    openblas_lapack_info:
      libraries openblas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    openblas_clapack_info:
      libraries openblas,lapack not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    flame_info:
      libraries flame not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    atlas_3_10_threads_info:
    Setting PTATLAS=ATLAS
      libraries lapack_atlas not found in /usr/local/lib64
      libraries tatlas,tatlas not found in /usr/local/lib64
      libraries lapack_atlas not found in /usr/local/lib
      libraries tatlas,tatlas not found in /usr/local/lib
      libraries lapack_atlas not found in /usr/lib64
      libraries tatlas,tatlas not found in /usr/lib64
      libraries lapack_atlas not found in /usr/lib
      libraries tatlas,tatlas not found in /usr/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 /usr/local/lib64
      libraries satlas,satlas not found in /usr/local/lib64
      libraries lapack_atlas not found in /usr/local/lib
      libraries satlas,satlas not found in /usr/local/lib
      libraries lapack_atlas not found in /usr/lib64
      libraries satlas,satlas not found in /usr/lib64
      libraries lapack_atlas not found in /usr/lib
      libraries satlas,satlas not found in /usr/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 /usr/local/lib64
      libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib64
      libraries lapack_atlas not found in /usr/local/lib
      libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
      libraries lapack_atlas not found in /usr/lib64
      libraries ptf77blas,ptcblas,atlas not found in /usr/lib64
      libraries lapack_atlas not found in /usr/lib
      libraries ptf77blas,ptcblas,atlas not found in /usr/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 /usr/local/lib64
      libraries f77blas,cblas,atlas not found in /usr/local/lib64
      libraries lapack_atlas not found in /usr/local/lib
      libraries f77blas,cblas,atlas not found in /usr/local/lib
      libraries lapack_atlas not found in /usr/lib64
      libraries f77blas,cblas,atlas not found in /usr/lib64
      libraries lapack_atlas not found in /usr/lib
      libraries f77blas,cblas,atlas not found in /usr/lib
      libraries lapack_atlas not found in /usr/lib/
      libraries f77blas,cblas,atlas not found in /usr/lib/
    <class 'numpy.distutils.system_info.atlas_info'>
      NOT AVAILABLE

    lapack_info:
      libraries lapack not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
      NOT AVAILABLE

    /tmp/pip-install-zir545b5/numpy_a878dba5431048fba439d8ccc2f1d429/numpy/distutils/system_info.py:1748: UserWarning:
        Lapack (http://www.netlib.org/lapack/) libraries not found.
        Directories to search for the libraries can be specified in the
        numpy/distutils/site.cfg file (section [lapack]) or by setting
        the LAPACK environment variable.
      return getattr(self, '_calc_info_{}'.format(name))()
    lapack_src_info:
      NOT AVAILABLE

    /tmp/pip-install-zir545b5/numpy_a878dba5431048fba439d8ccc2f1d429/numpy/distutils/system_info.py:1748: UserWarning:
        Lapack (http://www.netlib.org/lapack/) sources not found.
        Directories to search for the sources can be specified in the
        numpy/distutils/site.cfg file (section [lapack_src]) or by setting
        the LAPACK_SRC environment variable.
      return getattr(self, '_calc_info_{}'.format(name))()
      NOT AVAILABLE

    numpy_linalg_lapack_lite:
      FOUND:
        language = c
        define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')]

    /usr/lib64/python3.10/distutils/dist.py:274: 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 ifort
    Could not locate executable ifc
    Could not locate executable lf95
    Could not locate executable pgfortran
    Could not locate executable nvfortran
    Could not locate executable f90
    Could not locate executable f77
    Could not locate executable fort
    Could not locate executable efort
    Could not locate executable efc
    Could not locate executable g77
    Could not locate executable g95
    Could not locate executable pathf95
    Could not locate executable nagfor
    don't know how to compile Fortran code on platform 'posix'
      adding 'build/src.linux-x86_64-3.10/numpy/core/src/npymath' to include_dirs.
    None - nothing done with h_files = ['build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_internal.h']
    building library "npysort" sources
      adding 'build/src.linux-x86_64-3.10/numpy/core/src/common' to include_dirs.
    None - nothing done with h_files = ['build/src.linux-x86_64-3.10/numpy/core/src/common/npy_sort.h', 'build/src.linux-x86_64-3.10/numpy/core/src/common/npy_partition.h', 'build/src.linux-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.linux-x86_64-3.10/numpy/core/src/umath' to include_dirs.
      adding 'build/src.linux-x86_64-3.10/numpy/core/src/npymath' to include_dirs.
      adding 'build/src.linux-x86_64-3.10/numpy/core/src/common' to include_dirs.
    numpy.core - nothing done with h_files = ['build/src.linux-x86_64-3.10/numpy/core/src/umath/funcs.inc', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/simd.inc', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/loops.h', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/matmul.h', 'build/src.linux-x86_64-3.10/numpy/core/src/umath/clip.h', 'build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_internal.h', 'build/src.linux-x86_64-3.10/numpy/core/src/common/templ_common.h', 'build/src.linux-x86_64-3.10/numpy/core/include/numpy/config.h', 'build/src.linux-x86_64-3.10/numpy/core/include/numpy/_numpyconfig.h', 'build/src.linux-x86_64-3.10/numpy/core/include/numpy/__multiarray_api.h', 'build/src.linux-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
    ### Warning:  Using unoptimized lapack ###
    building extension "numpy.linalg._umath_linalg" sources
    ### Warning:  Using unoptimized lapack ###
    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.linux-x86_64-3.10
    creating build/lib.linux-x86_64-3.10/numpy
    copying numpy/ctypeslib.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/_pytesttester.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/version.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/matlib.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/conftest.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/_distributor_init.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/_globals.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/dual.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/__init__.py -> build/lib.linux-x86_64-3.10/numpy
    copying numpy/setup.py -> build/lib.linux-x86_64-3.10/numpy
    copying build/src.linux-x86_64-3.10/numpy/__config__.py -> build/lib.linux-x86_64-3.10/numpy
    creating build/lib.linux-x86_64-3.10/numpy/compat
    copying numpy/compat/py3k.py -> build/lib.linux-x86_64-3.10/numpy/compat
    copying numpy/compat/_inspect.py -> build/lib.linux-x86_64-3.10/numpy/compat
    copying numpy/compat/__init__.py -> build/lib.linux-x86_64-3.10/numpy/compat
    copying numpy/compat/setup.py -> build/lib.linux-x86_64-3.10/numpy/compat
    creating build/lib.linux-x86_64-3.10/numpy/compat/tests
    copying numpy/compat/tests/test_compat.py -> build/lib.linux-x86_64-3.10/numpy/compat/tests
    copying numpy/compat/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/compat/tests
    creating build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_methods.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/machar.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/setup_common.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_ufunc_config.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/umath_tests.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_exceptions.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/shape_base.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/numerictypes.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/umath.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/cversions.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_dtype.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_dtype_ctypes.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/numeric.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/overrides.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/arrayprint.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/multiarray.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/function_base.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/memmap.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/records.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/__init__.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_asarray.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/setup.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/einsumfunc.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_type_aliases.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/defchararray.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_add_newdocs.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/getlimits.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_string_helpers.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/fromnumeric.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/_internal.py -> build/lib.linux-x86_64-3.10/numpy/core
    copying numpy/core/code_generators/generate_numpy_api.py -> build/lib.linux-x86_64-3.10/numpy/core
    creating build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_umath.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_indexerrors.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_errstate.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_machar.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_getlimits.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_scalar_ctors.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_print.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_cpu_features.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_deprecations.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_regression.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_conversion_utils.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_scalarprint.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_unicode.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
    copying numpy/core/tests/test_multiarray.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
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    copying numpy/lib/tests/test_arrayterator.py -> build/lib.linux-x86_64-3.10/numpy/lib/tests
    copying numpy/lib/tests/test_histograms.py -> build/lib.linux-x86_64-3.10/numpy/lib/tests
    creating build/lib.linux-x86_64-3.10/numpy/linalg
    copying numpy/linalg/linalg.py -> build/lib.linux-x86_64-3.10/numpy/linalg
    copying numpy/linalg/__init__.py -> build/lib.linux-x86_64-3.10/numpy/linalg
    copying numpy/linalg/setup.py -> build/lib.linux-x86_64-3.10/numpy/linalg
    creating build/lib.linux-x86_64-3.10/numpy/linalg/tests
    copying numpy/linalg/tests/test_linalg.py -> build/lib.linux-x86_64-3.10/numpy/linalg/tests
    copying numpy/linalg/tests/test_deprecations.py -> build/lib.linux-x86_64-3.10/numpy/linalg/tests
    copying numpy/linalg/tests/test_regression.py -> build/lib.linux-x86_64-3.10/numpy/linalg/tests
    copying numpy/linalg/tests/test_build.py -> build/lib.linux-x86_64-3.10/numpy/linalg/tests
    copying numpy/linalg/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/linalg/tests
rondey commented 2 years ago

PART 2/2:

    creating build/lib.linux-x86_64-3.10/numpy/ma
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    creating build/lib.linux-x86_64-3.10/numpy/matrixlib
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    creating build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
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    creating build/lib.linux-x86_64-3.10/numpy/polynomial
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    creating build/lib.linux-x86_64-3.10/numpy/polynomial/tests
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    creating build/lib.linux-x86_64-3.10/numpy/random
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    copying numpy/random/setup.py -> build/lib.linux-x86_64-3.10/numpy/random
    creating build/lib.linux-x86_64-3.10/numpy/random/tests
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    copying numpy/random/tests/test_randomstate_regression.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    copying numpy/random/tests/test_generator_mt19937.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    copying numpy/random/tests/test_smoke.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    copying numpy/random/tests/test_randomstate.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    copying numpy/random/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    copying numpy/random/tests/test_seed_sequence.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    copying numpy/random/tests/test_extending.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    copying numpy/random/tests/test_generator_mt19937_regressions.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
    creating build/lib.linux-x86_64-3.10/numpy/testing
    copying numpy/testing/print_coercion_tables.py -> build/lib.linux-x86_64-3.10/numpy/testing
    copying numpy/testing/__init__.py -> build/lib.linux-x86_64-3.10/numpy/testing
    copying numpy/testing/setup.py -> build/lib.linux-x86_64-3.10/numpy/testing
    copying numpy/testing/utils.py -> build/lib.linux-x86_64-3.10/numpy/testing
    creating build/lib.linux-x86_64-3.10/numpy/testing/_private
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    copying numpy/testing/_private/noseclasses.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
    copying numpy/testing/_private/nosetester.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
    copying numpy/testing/_private/__init__.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
    copying numpy/testing/_private/utils.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
    creating build/lib.linux-x86_64-3.10/numpy/testing/tests
    copying numpy/testing/tests/test_utils.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
    copying numpy/testing/tests/test_doctesting.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
    copying numpy/testing/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
    copying numpy/testing/tests/test_decorators.py -> build/lib.linux-x86_64-3.10/numpy/testing/tests
    creating build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/test_warnings.py -> build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/test_ctypeslib.py -> build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/test_public_api.py -> build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/test_reloading.py -> build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/test_numpy_version.py -> build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/test_matlib.py -> build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/tests
    copying numpy/tests/test_scripts.py -> build/lib.linux-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: gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC

    creating build/temp.linux-x86_64-3.10
    creating build/temp.linux-x86_64-3.10/numpy
    creating build/temp.linux-x86_64-3.10/numpy/core
    creating build/temp.linux-x86_64-3.10/numpy/core/src
    creating build/temp.linux-x86_64-3.10/numpy/core/src/npymath
    creating build/temp.linux-x86_64-3.10/build
    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10
    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy
    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core
    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src
    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/npymath
    compile options: '-Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.linux-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/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
    extra options: '-std=c99'
    gcc: numpy/core/src/npymath/npy_math.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/ieee754.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c
    gcc: numpy/core/src/npymath/halffloat.c
    ar: adding 4 object files to build/temp.linux-x86_64-3.10/libnpymath.a
    building 'npysort' library
    compiling C sources
    C compiler: gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC

    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/npysort
    compile options: '-Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-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/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
    extra options: '-std=c99'
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/quicksort.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/mergesort.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/timsort.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/heapsort.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/radixsort.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/selection.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npysort/binsearch.c
    ar: adding 7 object files to build/temp.linux-x86_64-3.10/libnpysort.a
    building 'npyrandom' library
    compiling C sources
    C compiler: gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC

    creating build/temp.linux-x86_64-3.10/numpy/random
    creating build/temp.linux-x86_64-3.10/numpy/random/src
    creating build/temp.linux-x86_64-3.10/numpy/random/src/distributions
    compile options: '-Inumpy/core/include -Ibuild/src.linux-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/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
    extra options: '-std=c99'
    gcc: numpy/random/src/distributions/logfactorial.c
    gcc: numpy/random/src/distributions/distributions.c
    gcc: numpy/random/src/distributions/random_mvhg_count.c
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    ar: adding 5 object files to build/temp.linux-x86_64-3.10/libnpyrandom.a
    running build_ext
    customize UnixCCompiler
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    building 'numpy.core._multiarray_tests' extension
    compiling C sources
    C compiler: gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC

    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray
    creating build/temp.linux-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.linux-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/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
    extra options: '-std=c99'
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/_multiarray_tests.c
    gcc: numpy/core/src/common/mem_overlap.c
    gcc -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -g -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -g build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/_multiarray_tests.o build/temp.linux-x86_64-3.10/numpy/core/src/common/mem_overlap.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-3.10 -lnpymath -o build/lib.linux-x86_64-3.10/numpy/core/_multiarray_tests.cpython-310-x86_64-linux-gnu.so
    building 'numpy.core._multiarray_umath' extension
    compiling C sources
    C compiler: gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC

    creating build/temp.linux-x86_64-3.10/numpy/core/src/multiarray
    creating build/temp.linux-x86_64-3.10/numpy/core/src/umath
    creating build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/umath
    creating build/temp.linux-x86_64-3.10/build/src.linux-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 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-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/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c'
    extra options: '-std=c99'
    gcc: numpy/core/src/multiarray/alloc.c
    gcc: numpy/core/src/multiarray/common.c
    gcc: numpy/core/src/multiarray/arrayobject.c
    gcc: numpy/core/src/multiarray/convert.c
    gcc: numpy/core/src/multiarray/convert_datatype.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/arraytypes.c
    gcc: numpy/core/src/multiarray/conversion_utils.c
    gcc: numpy/core/src/multiarray/ctors.c
    gcc: numpy/core/src/multiarray/datetime.c
    gcc: numpy/core/src/multiarray/datetime_strings.c
    gcc: numpy/core/src/multiarray/datetime_busday.c
    gcc: numpy/core/src/multiarray/datetime_busdaycal.c
    gcc: numpy/core/src/multiarray/descriptor.c
    gcc: numpy/core/src/multiarray/dragon4.c
    gcc: numpy/core/src/multiarray/dtype_transfer.c
    gcc: numpy/core/src/multiarray/array_assign_scalar.c
    gcc: numpy/core/src/multiarray/array_assign_array.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/einsum.c
    gcc: numpy/core/src/multiarray/arrayfunction_override.c
    gcc: numpy/core/src/multiarray/buffer.c
    gcc: numpy/core/src/multiarray/calculation.c
    gcc: numpy/core/src/multiarray/compiled_base.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/lowlevel_strided_loops.c
    gcc: numpy/core/src/multiarray/flagsobject.c
    gcc: numpy/core/src/multiarray/getset.c
    gcc: numpy/core/src/multiarray/hashdescr.c
    gcc: numpy/core/src/multiarray/item_selection.c
    gcc: numpy/core/src/multiarray/iterators.c
    gcc: numpy/core/src/multiarray/refcount.c
    gcc: numpy/core/src/multiarray/sequence.c
    gcc: numpy/core/src/multiarray/shape.c
    gcc: numpy/core/src/multiarray/scalarapi.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’
     2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                                      ^~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function ‘_Py_HashDouble’
     2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
          |            ^~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:23: note: declared here
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                       ^~~~~~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘cfloat_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
     2975 |     hashreal = _Py_HashDouble((double)
          |                               ^~~~~~~~
          |                               |
          |                               double
     2976 |             PyArrayScalar_VAL(obj, C@name@).real);
          |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                                      ^~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function ‘_Py_HashDouble’
     2975 |     hashreal = _Py_HashDouble((double)
          |                ^~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:23: note: declared here
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                       ^~~~~~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
     2981 |     hashimag = _Py_HashDouble((double)
          |                               ^~~~~~~~
          |                               |
          |                               double
     2982 |             PyArrayScalar_VAL(obj, C@name@).imag);
          |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                                      ^~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function ‘_Py_HashDouble’
     2981 |     hashimag = _Py_HashDouble((double)
          |                ^~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:23: note: declared here
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                       ^~~~~~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘longdouble_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’
     2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                                      ^~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function ‘_Py_HashDouble’
     2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
          |            ^~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:23: note: declared here
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                       ^~~~~~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘clongdouble_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
     2975 |     hashreal = _Py_HashDouble((double)
          |                               ^~~~~~~~
          |                               |
          |                               double
     2976 |             PyArrayScalar_VAL(obj, C@name@).real);
          |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                                      ^~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function ‘_Py_HashDouble’
     2975 |     hashreal = _Py_HashDouble((double)
          |                ^~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:23: note: declared here
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                       ^~~~~~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’
     2981 |     hashimag = _Py_HashDouble((double)
          |                               ^~~~~~~~
          |                               |
          |                               double
     2982 |             PyArrayScalar_VAL(obj, C@name@).imag);
          |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                                      ^~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function ‘_Py_HashDouble’
     2981 |     hashimag = _Py_HashDouble((double)
          |                ^~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:23: note: declared here
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                       ^~~~~~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2997:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’
     2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
          |                           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
          |                           |
          |                           double
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                                      ^~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src:2997:12: error: too few arguments to function ‘_Py_HashDouble’
     2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
          |            ^~~~~~~~~~~~~~
    In file included from /usr/include/python3.10/Python.h:77,
                     from numpy/core/src/multiarray/scalartypes.c.src:3:
    /usr/include/python3.10/pyhash.h:10:23: note: declared here
       10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
          |                       ^~~~~~~~~~~~~~
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘longdouble_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2968:1: warning: control reaches end of non-void function [-Wreturn-type]
     2968 | }
          | ^
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2968:1: warning: control reaches end of non-void function [-Wreturn-type]
     2968 | }
          | ^
    numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’:
    numpy/core/src/multiarray/scalartypes.c.src:2998:1: warning: control reaches end of non-void function [-Wreturn-type]
     2998 | }
          | ^
    gcc: numpy/core/src/multiarray/vdot.c
    gcc: numpy/core/src/umath/umathmodule.c
    gcc: numpy/core/src/umath/reduction.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/loops.c
    gcc: numpy/core/src/multiarray/mapping.c
    gcc: numpy/core/src/multiarray/methods.c
    gcc: numpy/core/src/multiarray/multiarraymodule.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/nditer_templ.c
    gcc: numpy/core/src/multiarray/nditer_api.c
    gcc: numpy/core/src/multiarray/nditer_constr.c
    gcc: numpy/core/src/multiarray/nditer_pywrap.c
    gcc: numpy/core/src/multiarray/number.c
    gcc: numpy/core/src/umath/ufunc_type_resolution.c
    gcc: numpy/core/src/umath/override.c
    gcc: numpy/core/src/npymath/npy_math.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/ieee754.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c
    gcc: numpy/core/src/npymath/halffloat.c
    gcc: numpy/core/src/common/array_assign.c
    gcc: numpy/core/src/common/mem_overlap.c
    gcc: numpy/core/src/common/npy_longdouble.c
    gcc: numpy/core/src/common/ucsnarrow.c
    gcc: numpy/core/src/common/ufunc_override.c
    gcc: numpy/core/src/common/numpyos.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/common/npy_cpu_features.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/matmul.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/clip.c
    gcc: numpy/core/src/umath/ufunc_object.c
    gcc: numpy/core/src/umath/extobj.c
    gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/scalarmath.c
    error: Command "gcc -Wno-unused-result -Wsign-compare -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -fPIC -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-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/usr/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c -o build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o.d -std=c99" failed with exit status 1
    ----------------------------------------
    ERROR: Failed building wheel for numpy
  Failed to build numpy
  ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly
  ----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/86/39/6984a884aafa907e639fd6b203ae22f99cd65278d7a87b2103eb9469249b/opencv-python-headless-4.5.3.56.tar.gz#sha256=3308d22efec8a69932709fc76456ef7e0d1cd9eb2272d94b7e5df0674d3e324f (from https://pypi.org/simple/opencv-python-headless/) (requires-python:>=3.6). Command errored out with exit status 1: /usr/bin/python3 /tmp/pip-standalone-pip-guo5mn91/__env_pip__.zip/pip install --ignore-installed --no-user --prefix /tmp/pip-build-env-_kr6vvqp/overlay --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- setuptools wheel scikit-build cmake pip 'numpy==1.13.3; python_version=='"'"'3.6'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.6'"'"' and sys_platform == '"'"'linux'"'"' and platform_machine == '"'"'aarch64'"'"'' 'numpy==1.21.0; python_version>='"'"'3.6'"'"' and sys_platform == '"'"'darwin'"'"' and platform_machine == '"'"'arm64'"'"'' 'numpy==1.14.5; python_version=='"'"'3.7'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"'' 'numpy==1.17.3; python_version=='"'"'3.8'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"' and platform_machine != '"'"'aarch64'"'"' and platform_machine != '"'"'arm64'"'"'' Check the logs for full command output.
QuanyiLi commented 2 years ago

Hi, rondey,

Thanks for your feedback.

We officially recommend using Python3.7, while 3.8 is also ok in some circumstances. This is because the game engine Panda3D lacks the support to Python3.10.

Personally, I think Python3.7 and 3.8 are enough for a lot of existing projects. So please use Python3.7 instead : )

Quanyi