vlachoudis / bCNC

GRBL CNC command sender, autoleveler and g-code editor
GNU General Public License v2.0
1.58k stars 533 forks source link

bCNC no more working since upgrade to python3.10 #1653

Open fume68 opened 2 years ago

fume68 commented 2 years ago

Since the last Update on Archlinux bcnc didnt work anymore. When I try to install I got this Error:

ERROR: Command errored out with exit status 1: command: /usr/bin/python /usr/lib/python3.10/site-packages/pip install --ignore-installed --no-user --prefix /tmp/pip-build-env-g20utw44/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'"'"'' 'numpy==1.14.5; python_version=='"'"'3.7'"'"'' 'numpy==1.17.3; python_version=='"'"'3.8'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"'' cwd: None Complete output (1045 lines): Ignoring numpy: markers 'python_version == "3.6"' don't match your environment Ignoring numpy: markers 'python_version == "3.7"' don't match your environment Ignoring numpy: markers 'python_version == "3.8"' don't match your environment Collecting setuptools Downloading setuptools-59.6.0-py3-none-any.whl (952 kB) Collecting wheel Using cached wheel-0.37.0-py2.py3-none-any.whl (35 kB) Collecting scikit-build Downloading scikit_build-0.12.0-py2.py3-none-any.whl (73 kB) Collecting cmake Downloading cmake-3.22.1-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (22.7 MB) Collecting pip Downloading pip-21.3.1-py3-none-any.whl (1.7 MB) Collecting numpy==1.19.3 Downloading 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 Downloading distro-1.6.0-py2.py3-none-any.whl (19 kB) Collecting packaging Downloading packaging-21.3-py3-none-any.whl (40 kB) Collecting pyparsing!=3.0.5,>=2.0.2 Downloading pyparsing-3.0.6-py3-none-any.whl (97 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/python /usr/lib/python3.10/site-packages/pep517/in_process/_in_process.py build_wheel /tmp/tmph9elqn77 cwd: /tmp/pip-install-1tcog7ee/numpy_745f98d2654a443a9275aed3d7af4160 Complete output (1006 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-1tcog7ee/numpy_745f98d2654a443a9275aed3d7af4160/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/lib', '/usr/lib64', '/usr/lib', '/usr/lib/'] NOT AVAILABLE

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

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

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

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

accelerate_info:
  NOT AVAILABLE

/tmp/pip-install-1tcog7ee/numpy_745f98d2654a443a9275aed3d7af4160/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:
C compiler: gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -fPIC

creating /tmp/tmpn0xh3tjm/tmp
creating /tmp/tmpn0xh3tjm/tmp/tmpn0xh3tjm
compile options: '-I/usr/local/include -I/usr/include -c'
gcc: /tmp/tmpn0xh3tjm/source.c
gcc -pthread /tmp/tmpn0xh3tjm/tmp/tmpn0xh3tjm/source.o -L/usr/lib64 -lblas -o /tmp/tmpn0xh3tjm/a.out
/usr/bin/ld: /tmp/tmpn0xh3tjm/tmp/tmpn0xh3tjm/source.o: in function `main':
/tmp/tmpn0xh3tjm/source.c:6: undefined reference to `cblas_ddot'
collect2: Fehler: ld gab 1 als Ende-Status zurück
gcc -pthread /tmp/tmpn0xh3tjm/tmp/tmpn0xh3tjm/source.o -L/usr/lib64 -lcblas -lblas -o /tmp/tmpn0xh3tjm/a.out
  FOUND:
    libraries = ['cblas', 'blas', 'blas']
    library_dirs = ['/usr/lib64']
    include_dirs = ['/usr/local/include', '/usr/include']
    language = c
    define_macros = [('HAVE_CBLAS', None)]

  FOUND:
    define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
    libraries = ['cblas', 'blas', 'blas']
    library_dirs = ['/usr/lib64']
    include_dirs = ['/usr/local/include', '/usr/include']
    language = c

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

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

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

flame_info:
  libraries flame not found in ['/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/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/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/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/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:
  FOUND:
    libraries = ['lapack', 'lapack']
    library_dirs = ['/usr/lib64']
    language = f77

  FOUND:
    libraries = ['lapack', 'lapack', 'cblas', 'blas', 'blas']
    library_dirs = ['/usr/lib64']
    language = c
    define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
    include_dirs = ['/usr/local/include', '/usr/include']

/usr/lib/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
  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
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.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
copying numpy/core/tests/test_overrides.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_api.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalarmath.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/_locales.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_indexing.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_abc.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_einsum.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_numeric.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_longdouble.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalarbuffer.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_datetime.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_arrayprint.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_dtype.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalarinherit.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_scalar_methods.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_defchararray.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_numerictypes.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_records.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_mem_overlap.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_shape_base.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_item_selection.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_memmap.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_umath_complex.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_nditer.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test__exceptions.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_ufunc.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_function_base.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_protocols.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_umath_accuracy.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_extint128.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
copying numpy/core/tests/test_half.py -> build/lib.linux-x86_64-3.10/numpy/core/tests
creating build/lib.linux-x86_64-3.10/numpy/distutils
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creating build/lib.linux-x86_64-3.10/numpy/matrixlib
copying numpy/matrixlib/defmatrix.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib
copying numpy/matrixlib/__init__.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib
copying numpy/matrixlib/setup.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib
creating build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_interaction.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_regression.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_matrix_linalg.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_multiarray.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_masked_matrix.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_numeric.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/test_defmatrix.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
copying numpy/matrixlib/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/matrixlib/tests
creating build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/_polybase.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/hermite_e.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/polyutils.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/chebyshev.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/polynomial.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/legendre.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/laguerre.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/__init__.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/setup.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
copying numpy/polynomial/hermite.py -> build/lib.linux-x86_64-3.10/numpy/polynomial
creating build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polynomial.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_laguerre.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_polyutils.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite_e.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_printing.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_chebyshev.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_hermite.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/__init__.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_legendre.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
copying numpy/polynomial/tests/test_classes.py -> build/lib.linux-x86_64-3.10/numpy/polynomial/tests
creating build/lib.linux-x86_64-3.10/numpy/random
copying numpy/random/_pickle.py -> build/lib.linux-x86_64-3.10/numpy/random
copying numpy/random/__init__.py -> build/lib.linux-x86_64-3.10/numpy/random
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
copying numpy/random/tests/test_random.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_direct.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
copying numpy/random/tests/test_regression.py -> build/lib.linux-x86_64-3.10/numpy/random/tests
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
copying numpy/testing/_private/parameterized.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
copying numpy/testing/_private/decorators.py -> build/lib.linux-x86_64-3.10/numpy/testing/_private
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 -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -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: numpy/core/src/npymath/halffloat.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.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 -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -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/heapsort.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/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 -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -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
gcc: numpy/random/src/distributions/random_hypergeometric.c
gcc: numpy/random/src/distributions/random_mvhg_marginals.c
ar: adding 5 object files to build/temp.linux-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: gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -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 -pthread -shared -Wl,-O1,--sort-common,--as-needed,-z,relro,-z,now -Wl,-O1,--sort-common,--as-needed,-z,relro,-z,now 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/lib -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 -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -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 -DNO_ATLAS_INFO=1 -DHAVE_CBLAS -I/usr/local/include -I/usr/include -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/array_assign_scalar.c
gcc: numpy/core/src/multiarray/conversion_utils.c
gcc: numpy/core/src/multiarray/common.c
gcc: numpy/core/src/multiarray/buffer.c
gcc: numpy/core/src/multiarray/datetime_strings.c
gcc: numpy/core/src/multiarray/arrayobject.c
gcc: numpy/core/src/multiarray/array_assign_array.c
gcc: numpy/core/src/multiarray/convert.c
gcc: numpy/core/src/multiarray/ctors.c
gcc: numpy/core/src/multiarray/arrayfunction_override.c
gcc: numpy/core/src/multiarray/datetime_busday.c
gcc: numpy/core/src/multiarray/calculation.c
gcc: numpy/core/src/multiarray/convert_datatype.c
gcc: numpy/core/src/multiarray/descriptor.c
gcc: numpy/core/src/multiarray/datetime_busdaycal.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/arraytypes.c
gcc: numpy/core/src/multiarray/compiled_base.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/einsum.c
gcc: numpy/core/src/multiarray/hashdescr.c
gcc: numpy/core/src/multiarray/item_selection.c
gcc: numpy/core/src/multiarray/datetime.c
gcc: numpy/core/src/multiarray/dragon4.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/lowlevel_strided_loops.c
gcc: numpy/core/src/multiarray/dtype_transfer.c
gcc: numpy/core/src/multiarray/multiarraymodule.c
gcc: numpy/core/src/multiarray/iterators.c
gcc: numpy/core/src/multiarray/nditer_constr.c
gcc: numpy/core/src/multiarray/refcount.c
gcc: numpy/core/src/multiarray/sequence.c
gcc: numpy/core/src/multiarray/shape.c
gcc: numpy/core/src/multiarray/scalarapi.c
gcc: numpy/core/src/multiarray/nditer_pywrap.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »float_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2967:27: Fehler: Inkompatibler Typ für Argument 1 von »_Py_HashDouble«
 2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: Anmerkung: »PyObject *« {alias »struct _object *«} erwartet, aber Argument hat Typ »double«
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                                      ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2967:12: Fehler: Zu wenige Argumente für Funktion »_Py_HashDouble«
 2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
      |            ^~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:23: Anmerkung: hier deklariert
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                       ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »cfloat_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2975:31: Fehler: Inkompatibler Typ für Argument 1 von »_Py_HashDouble«
 2975 |     hashreal = _Py_HashDouble((double)
      |                               ^~~~~~~~
      |                               |
      |                               double
 2976 |             PyArrayScalar_VAL(obj, C@name@).real);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: Anmerkung: »PyObject *« {alias »struct _object *«} erwartet, aber Argument hat Typ »double«
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                                      ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2975:16: Fehler: Zu wenige Argumente für Funktion »_Py_HashDouble«
 2975 |     hashreal = _Py_HashDouble((double)
      |                ^~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:23: Anmerkung: hier deklariert
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                       ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:31: Fehler: Inkompatibler Typ für Argument 1 von »_Py_HashDouble«
 2981 |     hashimag = _Py_HashDouble((double)
      |                               ^~~~~~~~
      |                               |
      |                               double
 2982 |             PyArrayScalar_VAL(obj, C@name@).imag);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: Anmerkung: »PyObject *« {alias »struct _object *«} erwartet, aber Argument hat Typ »double«
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                                      ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:16: Fehler: Zu wenige Argumente für Funktion »_Py_HashDouble«
 2981 |     hashimag = _Py_HashDouble((double)
      |                ^~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:23: Anmerkung: hier deklariert
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                       ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »longdouble_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2967:27: Fehler: Inkompatibler Typ für Argument 1 von »_Py_HashDouble«
 2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: Anmerkung: »PyObject *« {alias »struct _object *«} erwartet, aber Argument hat Typ »double«
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                                      ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2967:12: Fehler: Zu wenige Argumente für Funktion »_Py_HashDouble«
 2967 |     return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@));
      |            ^~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:23: Anmerkung: hier deklariert
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                       ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »clongdouble_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2975:31: Fehler: Inkompatibler Typ für Argument 1 von »_Py_HashDouble«
 2975 |     hashreal = _Py_HashDouble((double)
      |                               ^~~~~~~~
      |                               |
      |                               double
 2976 |             PyArrayScalar_VAL(obj, C@name@).real);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: Anmerkung: »PyObject *« {alias »struct _object *«} erwartet, aber Argument hat Typ »double«
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                                      ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2975:16: Fehler: Zu wenige Argumente für Funktion »_Py_HashDouble«
 2975 |     hashreal = _Py_HashDouble((double)
      |                ^~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:23: Anmerkung: hier deklariert
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                       ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:31: Fehler: Inkompatibler Typ für Argument 1 von »_Py_HashDouble«
 2981 |     hashimag = _Py_HashDouble((double)
      |                               ^~~~~~~~
      |                               |
      |                               double
 2982 |             PyArrayScalar_VAL(obj, C@name@).imag);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: Anmerkung: »PyObject *« {alias »struct _object *«} erwartet, aber Argument hat Typ »double«
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                                      ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2981:16: Fehler: Zu wenige Argumente für Funktion »_Py_HashDouble«
 2981 |     hashimag = _Py_HashDouble((double)
      |                ^~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:23: Anmerkung: hier deklariert
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                       ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »half_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2997:27: Fehler: Inkompatibler Typ für Argument 1 von »_Py_HashDouble«
 2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
      |                           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                           |
      |                           double
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:38: Anmerkung: »PyObject *« {alias »struct _object *«} erwartet, aber Argument hat Typ »double«
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                                      ^~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src:2997:12: Fehler: Zu wenige Argumente für Funktion »_Py_HashDouble«
 2997 |     return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half)));
      |            ^~~~~~~~~~~~~~
In Datei, eingebunden von /usr/include/python3.10/Python.h:77,
                 von numpy/core/src/multiarray/scalartypes.c.src:3:
/usr/include/python3.10/pyhash.h:10:23: Anmerkung: hier deklariert
   10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
      |                       ^~~~~~~~~~~~~~
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »longdouble_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2968:1: Warnung: Kontrollfluss erreicht Ende von Nicht-void-Funktion [-Wreturn-type]
 2968 | }
      | ^
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »float_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2968:1: Warnung: Kontrollfluss erreicht Ende von Nicht-void-Funktion [-Wreturn-type]
 2968 | }
      | ^
numpy/core/src/multiarray/scalartypes.c.src: In Funktion »half_arrtype_hash«:
numpy/core/src/multiarray/scalartypes.c.src:2998:1: Warnung: Kontrollfluss erreicht Ende von Nicht-void-Funktion [-Wreturn-type]
 2998 | }
      | ^
gcc: numpy/core/src/multiarray/temp_elide.c
gcc: numpy/core/src/multiarray/typeinfo.c
gcc: numpy/core/src/multiarray/number.c
gcc: numpy/core/src/multiarray/usertypes.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/nditer_templ.c
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/umath/ufunc_object.c
gcc: numpy/core/src/multiarray/nditer_api.c
gcc: numpy/core/src/multiarray/flagsobject.c
numpy/core/src/multiarray/nditer_api.c: In Funktion »npyiter_coalesce_axes«:
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [16, 240] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [17, 241] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [18, 242] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [19, 243] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [20, 244] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [21, 245] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [22, 246] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [23, 247] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [24, 248] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [25, 249] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [26, 250] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [27, 251] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [28, 252] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [29, 253] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
numpy/core/src/multiarray/nditer_api.c:1684:24: Warnung: Schreiben von 1 Byte in eine Region der Größe 0 [-Wstringop-overflow=]
 1684 |             perm[idim] = (npy_int8)idim;
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~
In Datei, eingebunden von numpy/core/src/multiarray/nditer_api.c:16:
numpy/core/src/multiarray/nditer_impl.h:148:10: Anmerkung: an Offset [30, 254] des Zielobjekts »iter_flexdata« der Größe 1
  148 |     char iter_flexdata;
      |          ^~~~~~~~~~~~~
gcc: numpy/core/src/multiarray/getset.c
gcc: numpy/core/src/umath/ufunc_type_resolution.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/umath/override.c
gcc: numpy/core/src/common/mem_overlap.c
gcc: numpy/core/src/npymath/npy_math.c
gcc: numpy/core/src/umath/extobj.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/scalarmath.c
gcc: numpy/core/src/common/ucsnarrow.c
gcc: numpy/core/src/common/npy_longdouble.c
gcc: numpy/core/src/common/ufunc_override.c
gcc: build/src.linux-x86_64-3.10/numpy/core/src/common/npy_cpu_features.c
gcc: numpy/core/src/common/numpyos.c
gcc: numpy/core/src/common/cblasfuncs.c
gcc: numpy/core/src/common/python_xerbla.c
gcc: numpy/core/src/multiarray/mapping.c
gcc: numpy/core/src/multiarray/methods.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
error: Command "gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -fPIC -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=1 -DHAVE_CBLAS -I/usr/local/include -I/usr/include -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/30/46/821920986c7ce5bae5518c1d490e520a9ab4cef51e3e54e35094dadf0d68/opencv-python-4.4.0.46.tar.gz#sha256=d80db278a07f51811dbf0f9c31ff7cd5b2501822fb7a7587e71f9ff27d5c04bd (from https://pypi.org/simple/opencv-python/) (requires-python:>=3.6). Command errored out with exit status 1: /usr/bin/python /usr/lib/python3.10/site-packages/pip install --ignore-installed --no-user --prefix /tmp/pip-build-env-g20utw44/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'"'"'' 'numpy==1.14.5; python_version=='"'"'3.7'"'"'' 'numpy==1.17.3; python_version=='"'"'3.8'"'"'' 'numpy==1.19.3; python_version>='"'"'3.9'"'"'' Check the logs for full command output.

griffintwosix commented 2 years ago

Well Manjaro just fell too. So I'm loving bCNC, but now I'm stuck. Guess I can reload a stale version of linux. Like Debian or Mint. Well hope devs get it going, or try make an AppImage of it. Self contained package would be great.

Crind711 commented 2 years ago

I found a work around until dev get it fixed. Im running manjaro and notice in /usr/lib/python3.10/site-packages that it was missing files needed to run bCNC. I copied and merged all files in /usr/lib/python3.9/site-packages to /usr/lib/python3.10/site-packages. Once its completes- use same command as before to run bCNC.

I too would like to for developers to make a appimage that is self contained. I would, but Im just a dumb noob! All looks foreign to me!

Harvie commented 2 years ago

For me it does work on Python 3.10.1 (ArchLinux) numpy==1.21.5

bosd commented 2 years ago

Is this one resolved?

Crind711 commented 2 years ago

Is this one resolved?

Not sure it has. I do know what I mentioned above works. I moved back to LMDE 5 and windows 10, Had same issue on windows with the update of python.